Run main · Proposing side: left · Verified stable within the frozen candidate graph.
Coverage: complete_for_active_cohort; cohort: all_participants; preference sources: synthetic.
Stability is relative to these submitted or inferred preferences. Shortlist ranks are not full-market ranks.
Capacities are upper bounds. Rankings evaluate individual partners independently; acceptable partners are preferred to leaving a slot empty.
Frozen inputs: market and capacities · preferences · matches CSV.
left: 30 / 30 matched
right: 10 / 10 matched
| Left side | Right side |
|---|---|
| Fictional Employee 1 | Fictional Mentor 1 |
| Fictional Employee 2 | Fictional Mentor 7 |
| Fictional Employee 3 | Fictional Mentor 3 |
| Fictional Employee 4 | Fictional Mentor 9 |
| Fictional Employee 5 | Fictional Mentor 5 |
| Fictional Employee 6 | Fictional Mentor 1 |
| Fictional Employee 7 | Fictional Mentor 2 |
| Fictional Employee 8 | Fictional Mentor 3 |
| Fictional Employee 9 | Fictional Mentor 9 |
| Fictional Employee 10 | Fictional Mentor 5 |
| Fictional Employee 11 | Fictional Mentor 6 |
| Fictional Employee 12 | Fictional Mentor 2 |
| Fictional Employee 13 | Fictional Mentor 8 |
| Fictional Employee 14 | Fictional Mentor 4 |
| Fictional Employee 15 | Fictional Mentor 10 |
| Fictional Employee 16 | Fictional Mentor 6 |
| Fictional Employee 17 | Fictional Mentor 7 |
| Fictional Employee 18 | Fictional Mentor 3 |
| Fictional Employee 19 | Fictional Mentor 9 |
| Fictional Employee 20 | Fictional Mentor 10 |
| Fictional Employee 21 | Fictional Mentor 6 |
| Fictional Employee 22 | Fictional Mentor 2 |
| Fictional Employee 23 | Fictional Mentor 8 |
| Fictional Employee 24 | Fictional Mentor 4 |
| Fictional Employee 25 | Fictional Mentor 5 |
| Fictional Employee 26 | Fictional Mentor 1 |
| Fictional Employee 27 | Fictional Mentor 7 |
| Fictional Employee 28 | Fictional Mentor 8 |
| Fictional Employee 29 | Fictional Mentor 4 |
| Fictional Employee 30 | Fictional Mentor 10 |
| Participant | Capacity | Assigned | Unfilled |
|---|---|---|---|
| Fictional Employee 1 | 1 | 1 | 0 |
| Fictional Employee 2 | 1 | 1 | 0 |
| Fictional Employee 3 | 1 | 1 | 0 |
| Fictional Employee 4 | 1 | 1 | 0 |
| Fictional Employee 5 | 1 | 1 | 0 |
| Fictional Employee 6 | 1 | 1 | 0 |
| Fictional Employee 7 | 1 | 1 | 0 |
| Fictional Employee 8 | 1 | 1 | 0 |
| Fictional Employee 9 | 1 | 1 | 0 |
| Fictional Employee 10 | 1 | 1 | 0 |
| Fictional Employee 11 | 1 | 1 | 0 |
| Fictional Employee 12 | 1 | 1 | 0 |
| Fictional Employee 13 | 1 | 1 | 0 |
| Fictional Employee 14 | 1 | 1 | 0 |
| Fictional Employee 15 | 1 | 1 | 0 |
| Fictional Employee 16 | 1 | 1 | 0 |
| Fictional Employee 17 | 1 | 1 | 0 |
| Fictional Employee 18 | 1 | 1 | 0 |
| Fictional Employee 19 | 1 | 1 | 0 |
| Fictional Employee 20 | 1 | 1 | 0 |
| Fictional Employee 21 | 1 | 1 | 0 |
| Fictional Employee 22 | 1 | 1 | 0 |
| Fictional Employee 23 | 1 | 1 | 0 |
| Fictional Employee 24 | 1 | 1 | 0 |
| Fictional Employee 25 | 1 | 1 | 0 |
| Fictional Employee 26 | 1 | 1 | 0 |
| Fictional Employee 27 | 1 | 1 | 0 |
| Fictional Employee 28 | 1 | 1 | 0 |
| Fictional Employee 29 | 1 | 1 | 0 |
| Fictional Employee 30 | 1 | 1 | 0 |
| Fictional Mentor 1 | 3 | 3 | 0 |
| Fictional Mentor 2 | 3 | 3 | 0 |
| Fictional Mentor 3 | 3 | 3 | 0 |
| Fictional Mentor 4 | 3 | 3 | 0 |
| Fictional Mentor 5 | 3 | 3 | 0 |
| Fictional Mentor 6 | 3 | 3 | 0 |
| Fictional Mentor 7 | 3 | 3 | 0 |
| Fictional Mentor 8 | 3 | 3 | 0 |
| Fictional Mentor 9 | 3 | 3 | 0 |
| Fictional Mentor 10 | 3 | 3 | 0 |
Each cell: row participant’s rank / column participant’s rank. Lower is better. ✓ and green mark a match; × means explicitly unacceptable; — means unranked or ineligible. Ranks use the frozen submitted lists.
| Fictional Mentor 1 capacity 3 | Fictional Mentor 2 capacity 3 | Fictional Mentor 3 capacity 3 | Fictional Mentor 4 capacity 3 | Fictional Mentor 5 capacity 3 | Fictional Mentor 6 capacity 3 | Fictional Mentor 7 capacity 3 | Fictional Mentor 8 capacity 3 | Fictional Mentor 9 capacity 3 | Fictional Mentor 10 capacity 3 | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fictional Employee 1 | 2 / 4 ✓ | 9 / 15 | 7 / 13 | 6 / 20 | 10 / 18 | 1 / 6 | 5 / 10 | 3 / 13 | 4 / 11 | 8 / 30 |
| Fictional Employee 2 | 6 / 12 | 2 / 5 | 10 / 27 | 9 / 14 | 8 / 27 | 5 / 26 | 1 / 2 ✓ | 3 / 10 | 7 / 26 | 4 / 29 |
| Fictional Employee 3 | 8 / 13 | 10 / 13 | 1 / 4 ✓ | 6 / 15 | 7 / 29 | 4 / 11 | 9 / 12 | 2 / 6 | 5 / 30 | 3 / 18 |
| Fictional Employee 4 | 10 / 14 | 6 / 12 | 8 / 7 | 2 / 1 | 7 / 10 | 9 / 12 | 4 / 27 | 5 / 30 | 1 / 1 ✓ | 3 / 25 |
| Fictional Employee 5 | 4 / 19 | 9 / 8 | 5 / 20 | 6 / 8 | 1 / 1 ✓ | 10 / 20 | 3 / 26 | 8 / 21 | 7 / 17 | 2 / 5 |
| Fictional Employee 6 | 1 / 2 ✓ | 6 / 26 | 10 / 21 | 5 / 11 | 7 / 7 | 2 / 4 | 3 / 30 | 8 / 14 | 4 / 22 | 9 / 11 |
| Fictional Employee 7 | 10 / 15 | 1 / 2 ✓ | 7 / 15 | 3 / 10 | 9 / 17 | 5 / 14 | 2 / 5 | 8 / 26 | 4 / 20 | 6 / 12 |
| Fictional Employee 8 | 3 / 23 | 5 / 23 | 1 / 2 ✓ | 6 / 19 | 10 / 8 | 4 / 13 | 7 / 7 | 2 / 4 | 9 / 14 | 8 / 10 |
| Fictional Employee 9 | 3 / 10 | 10 / 14 | 7 / 28 | 1 / 6 | 6 / 22 | 4 / 30 | 5 / 18 | 8 / 16 | 2 / 5 ✓ | 9 / 17 |
| Fictional Employee 10 | 7 / 21 | 3 / 21 | 9 / 12 | 6 / 27 | 1 / 2 ✓ | 5 / 17 | 10 / 29 | 8 / 7 | 4 / 10 | 2 / 4 |
| Fictional Employee 11 | 2 / 1 | 3 / 30 | 5 / 11 | 10 / 21 | 4 / 15 | 1 / 3 ✓ | 8 / 17 | 6 / 23 | 7 / 18 | 9 / 27 |
| Fictional Employee 12 | 9 / 25 | 1 / 6 ✓ | 4 / 23 | 8 / 29 | 6 / 16 | 10 / 15 | 2 / 3 | 3 / 27 | 7 / 28 | 5 / 14 |
| Fictional Employee 13 | 7 / 17 | 8 / 18 | 1 / 6 | 9 / 18 | 6 / 13 | 3 / 28 | 5 / 8 | 2 / 5 ✓ | 10 / 15 | 4 / 21 |
| Fictional Employee 14 | 8 / 27 | 6 / 28 | 9 / 24 | 1 / 5 ✓ | 4 / 19 | 5 / 23 | 3 / 21 | 7 / 28 | 2 / 3 | 10 / 19 |
| Fictional Employee 15 | 6 / 20 | 3 / 20 | 8 / 19 | 7 / 12 | 2 / 5 | 10 / 9 | 9 / 16 | 5 / 11 | 4 / 23 | 1 / 2 ✓ |
| Fictional Employee 16 | 2 / 5 | 4 / 27 | 6 / 9 | 7 / 24 | 9 / 25 | 1 / 2 ✓ | 8 / 11 | 3 / 15 | 10 / 7 | 5 / 13 |
| Fictional Employee 17 | 10 / 11 | 2 / 4 | 9 / 14 | 5 / 9 | 7 / 23 | 8 / 10 | 1 / 4 ✓ | 6 / 29 | 3 / 8 | 4 / 15 |
| Fictional Employee 18 | 3 / 30 | 8 / 9 | 1 / 1 ✓ | 6 / 23 | 7 / 20 | 10 / 19 | 4 / 9 | 2 / 1 | 9 / 29 | 5 / 16 |
| Fictional Employee 19 | 10 / 29 | 6 / 25 | 5 / 8 | 2 / 3 | 3 / 14 | 9 / 25 | 8 / 23 | 4 / 19 | 1 / 2 ✓ | 7 / 8 |
| Fictional Employee 20 | 7 / 7 | 3 / 11 | 10 / 18 | 6 / 17 | 1 / 4 | 5 / 29 | 8 / 13 | 9 / 18 | 4 / 13 | 2 / 3 ✓ |
| Fictional Employee 21 | 2 / 6 | 6 / 10 | 7 / 30 | 3 / 22 | 8 / 24 | 1 / 1 ✓ | 4 / 15 | 5 / 8 | 10 / 27 | 9 / 23 |
| Fictional Employee 22 | 10 / 26 | 1 / 3 ✓ | 8 / 17 | 5 / 7 | 4 / 9 | 7 / 18 | 2 / 1 | 9 / 25 | 6 / 16 | 3 / 24 |
| Fictional Employee 23 | 7 / 16 | 4 / 7 | 2 / 3 | 8 / 26 | 10 / 12 | 9 / 24 | 6 / 19 | 1 / 2 ✓ | 3 / 19 | 5 / 26 |
| Fictional Employee 24 | 3 / 22 | 9 / 29 | 7 / 26 | 1 / 4 ✓ | 10 / 26 | 6 / 22 | 4 / 24 | 8 / 9 | 2 / 6 | 5 / 20 |
| Fictional Employee 25 | 6 / 18 | 10 / 16 | 8 / 16 | 7 / 13 | 1 / 3 ✓ | 5 / 27 | 3 / 22 | 9 / 12 | 4 / 25 | 2 / 6 |
| Fictional Employee 26 | 2 / 3 ✓ | 10 / 19 | 5 / 25 | 9 / 28 | 4 / 28 | 1 / 5 | 6 / 28 | 8 / 17 | 7 / 24 | 3 / 22 |
| Fictional Employee 27 | 3 / 9 | 2 / 1 | 9 / 22 | 5 / 25 | 6 / 30 | 7 / 8 | 1 / 6 ✓ | 8 / 20 | 4 / 12 | 10 / 7 |
| Fictional Employee 28 | 8 / 28 | 9 / 24 | 2 / 5 | 4 / 30 | 10 / 21 | 5 / 7 | 7 / 20 | 1 / 3 ✓ | 6 / 21 | 3 / 28 |
| Fictional Employee 29 | 7 / 8 | 4 / 17 | 3 / 10 | 1 / 2 ✓ | 10 / 11 | 6 / 21 | 5 / 25 | 9 / 24 | 2 / 4 | 8 / 9 |
| Fictional Employee 30 | 3 / 24 | 8 / 22 | 10 / 29 | 4 / 16 | 2 / 6 | 9 / 16 | 6 / 14 | 7 / 22 | 5 / 9 | 1 / 1 ✓ |
{}
{
"by_side": {
"left": {
"participants": 30,
"completion": {
"numerator": 30,
"denominator": 30,
"rate": 1.0
},
"evaluation_coverage": {
"numerator": 300,
"denominator": 300,
"rate": 1.0
},
"decision_coverage": {
"numerator": 300,
"denominator": 300,
"rate": 1.0
},
"unresolved_directions": 0,
"explicit_rejections": 0,
"list_lengths": {
"e001": 10,
"e002": 10,
"e003": 10,
"e004": 10,
"e005": 10,
"e006": 10,
"e007": 10,
"e008": 10,
"e009": 10,
"e010": 10,
"e011": 10,
"e012": 10,
"e013": 10,
"e014": 10,
"e015": 10,
"e016": 10,
"e017": 10,
"e018": 10,
"e019": 10,
"e020": 10,
"e021": 10,
"e022": 10,
"e023": 10,
"e024": 10,
"e025": 10,
"e026": 10,
"e027": 10,
"e028": 10,
"e029": 10,
"e030": 10
},
"first_choice_demand": {
"m001": 1,
"m002": 3,
"m003": 4,
"m004": 4,
"m005": 4,
"m006": 5,
"m007": 3,
"m008": 2,
"m009": 2,
"m010": 2
},
"top_3_demand": {
"m001": 12,
"m002": 10,
"m003": 7,
"m004": 8,
"m005": 7,
"m006": 7,
"m007": 10,
"m008": 10,
"m009": 8,
"m010": 11
},
"evaluated_exposure": {
"m001": 30,
"m002": 30,
"m003": 30,
"m004": 30,
"m005": 30,
"m006": 30,
"m007": 30,
"m008": 30,
"m009": 30,
"m010": 30
},
"top_3_per_evaluation": {
"m001": {
"numerator": 12,
"denominator": 30,
"rate": 0.4
},
"m002": {
"numerator": 10,
"denominator": 30,
"rate": 0.3333333333333333
},
"m003": {
"numerator": 7,
"denominator": 30,
"rate": 0.23333333333333334
},
"m004": {
"numerator": 8,
"denominator": 30,
"rate": 0.26666666666666666
},
"m005": {
"numerator": 7,
"denominator": 30,
"rate": 0.23333333333333334
},
"m006": {
"numerator": 7,
"denominator": 30,
"rate": 0.23333333333333334
},
"m007": {
"numerator": 10,
"denominator": 30,
"rate": 0.3333333333333333
},
"m008": {
"numerator": 10,
"denominator": 30,
"rate": 0.3333333333333333
},
"m009": {
"numerator": 8,
"denominator": 30,
"rate": 0.26666666666666666
},
"m010": {
"numerator": 11,
"denominator": 30,
"rate": 0.36666666666666664
}
},
"first_choice_hhi": 0.11555555555555555,
"common_candidate_order_agreement": {
"numerator": 9669,
"denominator": 19575,
"rate": 0.4939463601532567
},
"order_agreement_sampling": {
"respondents": 30,
"respondent_population": 30,
"max_shared_candidates_per_pair": 20,
"candidate_sampling_used": false,
"seed": 17
},
"match_rate": {
"numerator": 30,
"denominator": 30,
"rate": 1.0
},
"capacity": 30,
"filled_slots": 30,
"unfilled_slots": 0,
"slot_fill_rate": {
"numerator": 30,
"denominator": 30,
"rate": 1.0
},
"assigned_counts": {
"e001": 1,
"e002": 1,
"e003": 1,
"e004": 1,
"e005": 1,
"e006": 1,
"e007": 1,
"e008": 1,
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"e010": 1,
"e011": 1,
"e012": 1,
"e013": 1,
"e014": 1,
"e015": 1,
"e016": 1,
"e017": 1,
"e018": 1,
"e019": 1,
"e020": 1,
"e021": 1,
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"e024": 1,
"e025": 1,
"e026": 1,
"e027": 1,
"e028": 1,
"e029": 1,
"e030": 1
},
"assigned_partner_rank_lists": {
"e001": [
2
],
"e002": [
1
],
"e003": [
1
],
"e004": [
1
],
"e005": [
1
],
"e006": [
1
],
"e007": [
1
],
"e008": [
1
],
"e009": [
2
],
"e010": [
1
],
"e011": [
1
],
"e012": [
1
],
"e013": [
2
],
"e014": [
1
],
"e015": [
1
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"e016": [
1
],
"e017": [
1
],
"e018": [
1
],
"e019": [
1
],
"e020": [
2
],
"e021": [
1
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"e022": [
1
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"e023": [
1
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"e024": [
1
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"e025": [
1
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"e026": [
2
],
"e027": [
1
],
"e028": [
1
],
"e029": [
1
],
"e030": [
1
]
},
"assigned_partner_ranks": {
"e001": 2,
"e002": 1,
"e003": 1,
"e004": 1,
"e005": 1,
"e006": 1,
"e007": 1,
"e008": 1,
"e009": 2,
"e010": 1,
"e011": 1,
"e012": 1,
"e013": 2,
"e014": 1,
"e015": 1,
"e016": 1,
"e017": 1,
"e018": 1,
"e019": 1,
"e020": 2,
"e021": 1,
"e022": 1,
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"e024": 1,
"e025": 1,
"e026": 2,
"e027": 1,
"e028": 1,
"e029": 1,
"e030": 1
},
"mean_assigned_rank_among_matched": 1.1666666666666667,
"top_1_assignment": {
"numerator": 25,
"denominator": 30,
"rate": 0.8333333333333334
},
"top_3_assignment": {
"numerator": 30,
"denominator": 30,
"rate": 1.0
},
"sources": {
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}
},
"right": {
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"completion": {
"numerator": 10,
"denominator": 10,
"rate": 1.0
},
"evaluation_coverage": {
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"denominator": 300,
"rate": 1.0
},
"decision_coverage": {
"numerator": 300,
"denominator": 300,
"rate": 1.0
},
"unresolved_directions": 0,
"explicit_rejections": 0,
"list_lengths": {
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"m002": 30,
"m003": 30,
"m004": 30,
"m005": 30,
"m006": 30,
"m007": 30,
"m008": 30,
"m009": 30,
"m010": 30
},
"first_choice_demand": {
"e004": 2,
"e005": 1,
"e011": 1,
"e018": 2,
"e021": 1,
"e022": 1,
"e027": 1,
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},
"top_3_demand": {
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},
"evaluated_exposure": {
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"e002": 10,
"e003": 10,
"e004": 10,
"e005": 10,
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},
"top_3_per_evaluation": {
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},
"e002": {
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},
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},
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},
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},
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},
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"rate": 0.1
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"rate": 0.1
},
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"rate": 0.2
},
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},
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},
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"rate": 0.1
},
"e030": {
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},
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"common_candidate_order_agreement": {
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"rate": 0.4976608187134503
},
"order_agreement_sampling": {
"respondents": 10,
"respondent_population": 10,
"max_shared_candidates_per_pair": 20,
"candidate_sampling_used": true,
"seed": 17
},
"match_rate": {
"numerator": 10,
"denominator": 10,
"rate": 1.0
},
"capacity": 30,
"filled_slots": 30,
"unfilled_slots": 0,
"slot_fill_rate": {
"numerator": 30,
"denominator": 30,
"rate": 1.0
},
"assigned_counts": {
"m001": 3,
"m002": 3,
"m003": 3,
"m004": 3,
"m005": 3,
"m006": 3,
"m007": 3,
"m008": 3,
"m009": 3,
"m010": 3
},
"assigned_partner_rank_lists": {
"m001": [
2,
3,
4
],
"m002": [
2,
3,
6
],
"m003": [
1,
2,
4
],
"m004": [
2,
4,
5
],
"m005": [
1,
2,
3
],
"m006": [
1,
2,
3
],
"m007": [
2,
4,
6
],
"m008": [
2,
3,
5
],
"m009": [
1,
2,
5
],
"m010": [
1,
2,
3
]
},
"assigned_partner_ranks": {},
"mean_assigned_rank_among_matched": 2.8666666666666667,
"top_1_assignment": {
"numerator": 5,
"denominator": 10,
"rate": 0.5
},
"top_3_assignment": {
"numerator": 10,
"denominator": 10,
"rate": 1.0
},
"sources": {
"synthetic": 10
}
}
},
"mutual_top_3": [
[
"e002",
"m007"
],
[
"e004",
"m009"
],
[
"e004",
"m004"
],
[
"e005",
"m005"
],
[
"e006",
"m001"
],
[
"e007",
"m002"
],
[
"e008",
"m003"
],
[
"e010",
"m005"
],
[
"e011",
"m006"
],
[
"e011",
"m001"
],
[
"e012",
"m007"
],
[
"e014",
"m009"
],
[
"e015",
"m010"
],
[
"e016",
"m006"
],
[
"e018",
"m003"
],
[
"e018",
"m008"
],
[
"e019",
"m009"
],
[
"e019",
"m004"
],
[
"e020",
"m010"
],
[
"e021",
"m006"
],
[
"e022",
"m002"
],
[
"e022",
"m007"
],
[
"e023",
"m008"
],
[
"e023",
"m003"
],
[
"e025",
"m005"
],
[
"e026",
"m001"
],
[
"e027",
"m002"
],
[
"e028",
"m008"
],
[
"e029",
"m004"
],
[
"e030",
"m010"
]
],
"rank_scope": "submitted lists within the active cohort; not full-market ranks",
"outcome_denominators": "match_rate and top_k_assignment count participants with at least one qualifying partner; slot_fill_rate counts filled capacity. Mean assigned rank counts each assignment. assigned_partner_ranks is the legacy scalar field for unit-capacity participants; rank_lists includes all assignments.",
"note": "Ordinal ranks and model scores are not cardinal welfare. Exposure is evaluated exposure, not measured page views."
}
{
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[
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[
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[
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[
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},
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},
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},
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},
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},
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},
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2
],
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1
],
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1
],
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1
],
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1
],
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},
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},
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},
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}
},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
"e016": {
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},
"e017": {
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},
"e018": {
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},
"e019": {
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},
"e020": {
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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}
},
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},
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},
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},
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},
"assigned_counts": {
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},
"assigned_partner_rank_lists": {
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2,
3,
4
],
"m002": [
1,
2,
3
],
"m003": [
1,
2,
4
],
"m004": [
2,
4,
5
],
"m005": [
1,
2,
3
],
"m006": [
1,
2,
3
],
"m007": [
2,
3,
4
],
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2,
3,
5
],
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1,
2,
5
],
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1,
2,
3
]
},
"assigned_partner_ranks": {},
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"rate": 0.6
},
"top_3_assignment": {
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"rate": 1.0
},
"sources": {
"synthetic": 10
}
}
},
"mutual_top_3": [
[
"e002",
"m007"
],
[
"e004",
"m009"
],
[
"e004",
"m004"
],
[
"e005",
"m005"
],
[
"e006",
"m001"
],
[
"e007",
"m002"
],
[
"e008",
"m003"
],
[
"e010",
"m005"
],
[
"e011",
"m006"
],
[
"e011",
"m001"
],
[
"e012",
"m007"
],
[
"e014",
"m009"
],
[
"e015",
"m010"
],
[
"e016",
"m006"
],
[
"e018",
"m003"
],
[
"e018",
"m008"
],
[
"e019",
"m009"
],
[
"e019",
"m004"
],
[
"e020",
"m010"
],
[
"e021",
"m006"
],
[
"e022",
"m002"
],
[
"e022",
"m007"
],
[
"e023",
"m008"
],
[
"e023",
"m003"
],
[
"e025",
"m005"
],
[
"e026",
"m001"
],
[
"e027",
"m002"
],
[
"e028",
"m008"
],
[
"e029",
"m004"
],
[
"e030",
"m010"
]
],
"rank_scope": "submitted lists within the active cohort; not full-market ranks",
"outcome_denominators": "match_rate and top_k_assignment count participants with at least one qualifying partner; slot_fill_rate counts filled capacity. Mean assigned rank counts each assignment. assigned_partner_ranks is the legacy scalar field for unit-capacity participants; rank_lists includes all assignments.",
"note": "Ordinal ranks and model scores are not cardinal welfare. Exposure is evaluated exposure, not measured page views."
}
}
{}
Organizer report: includes private rankings. Individual files contain only assigned partners' public profiles, with no rankings or contact details.