{"id":"W4224881499","doi":"10.1257/mic.20190296","title":"Tractable Model of Dynamic Many-to-Many Matching","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inefficiency; Matching (statistics); Mathematical economics; Stochastic game; Externality; Economics; Class (philosophy); Mathematical optimization; Term (time); Function (biology); Computer science; Mathematics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372947,0.0005547548,0.001410847,0.0007161286,0.001048788,0.002331973,0.002738529,0.002960735,0.01439121],"category_scores_gemma":[0.005288017,0.0005266592,0.0009478886,0.001418108,0.001764373,0.004199016,0.002264335,0.001920943,0.001832501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076593,"about_ca_system_score_gemma":0.001514287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004085597,"about_ca_topic_score_gemma":0.002475697,"domain_scores_codex":[0.9989022,0.0003726494,0.00004536652,0.0002587858,0.0001855175,0.0002354517],"domain_scores_gemma":[0.9984421,0.0005930884,0.000327227,0.0002218208,0.0001601501,0.0002556411],"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":[0.00009719437,0.0001166833,0.0005647163,0.00005223619,0.00003587864,0.000440956,0.0001551527,0.2428164,0.001214915,0.745629,0.002834694,0.006042129],"study_design_scores_gemma":[0.00007647344,0.00003511633,0.0001918806,0.00001021339,0.00001369793,0.0001755486,0.00007589778,0.6734082,0.0001619831,0.3237446,0.002085632,0.00002086395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2271333,0.0004977112,0.6805642,0.004083858,0.0001296092,0.0002137922,0.00110314,0.0004777977,0.08579665],"genre_scores_gemma":[0.9332528,0.0003568144,0.0327668,0.0003323104,0.00005953015,0.000171098,0.0002531725,0.00007040666,0.03273717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01439121,"threshold_uncertainty_score":0.04814339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343744943516575,"score_gpt":0.2170080018496353,"score_spread":0.2035705524144696,"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."}}