{"id":"W2803387754","doi":"","title":"Robust design in monotonic matching markets : a case for firm-proposing deferred-acceptance","year":2018,"lang":"en","type":"article","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal; Ministerio de Economía y Competitividad; Generalitat de Catalunya","keywords":"Incentive compatibility; Incentive; Matching (statistics); Private information retrieval; Business; Monotonic function; Ex-ante; Microeconomics; Compatibility (geochemistry); Industrial organization; Economics; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02551921,0.001505182,0.003488385,0.001074144,0.001097149,0.004320432,0.005234443,0.004983275,0.0111727],"category_scores_gemma":[0.08959905,0.001455227,0.002312944,0.001342805,0.003914788,0.005756648,0.003348583,0.004617186,0.001854475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836339,"about_ca_system_score_gemma":0.002741089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000848438,"about_ca_topic_score_gemma":0.0005780791,"domain_scores_codex":[0.9818428,0.01097292,0.0006887657,0.00271583,0.002061391,0.001718347],"domain_scores_gemma":[0.9209006,0.05202572,0.01032496,0.01010187,0.00392692,0.002719981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007270375,0.0003366043,0.001747571,0.000409407,0.0002214655,0.0006744675,0.0005471657,0.1458993,0.003168654,0.8008096,0.001854313,0.04360454],"study_design_scores_gemma":[0.0003661359,0.0005524979,0.0004299622,0.0000706821,0.00008204493,0.0002354316,0.000105404,0.4482348,0.001512726,0.5453573,0.002981691,0.00007139767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06474217,0.0005333197,0.9222518,0.001628932,0.0001015255,0.0004128888,0.0001925719,0.0003459174,0.009790812],"genre_scores_gemma":[0.872214,0.0004068706,0.1151993,0.0005232924,0.0001881527,0.0006003784,0.0001220891,0.0001101511,0.01063573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02551921,"threshold_uncertainty_score":0.1349601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693205717457338,"score_gpt":0.2361996302294917,"score_spread":0.2092675730549183,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}