{"id":"W4317676827","doi":"10.1002/jae.3061","title":"Estimating separable matching models","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Matching (statistics); Estimator; Separable space; Simple (philosophy); Mathematical optimization; Computer science; Entropy (arrow of time); Mathematics; Econometrics; Applied mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00331189,0.0001706434,0.0006044567,0.001583071,0.0000924537,0.0003632624,0.0003415912,0.0001099144,0.0002460748],"category_scores_gemma":[0.00007938595,0.0001805793,0.0002265263,0.001022502,0.00002833157,0.0006347717,0.00004863349,0.0004056782,0.0006400702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951904,"about_ca_system_score_gemma":0.00003916448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009720007,"about_ca_topic_score_gemma":3.496691e-7,"domain_scores_codex":[0.9979457,0.000008966122,0.001411708,0.0002764688,0.00005766067,0.0002994924],"domain_scores_gemma":[0.9985836,0.0002820382,0.0007682078,0.0002040078,0.00003361238,0.000128599],"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":[0.00001529974,0.00003640568,0.0002171587,0.0001758917,0.0001331042,0.00001625955,0.001045622,0.1312559,0.00002157279,0.863755,0.0006776816,0.00265005],"study_design_scores_gemma":[0.0002681064,0.00004976052,0.00008225277,0.00009155547,0.00001626023,0.0000856667,0.000213319,0.1405823,0.00004924068,0.846614,0.01169668,0.0002508232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3952455,0.008715467,0.3285834,0.0001780331,0.004102676,0.0001783827,0.00004253565,0.00009629026,0.2628578],"genre_scores_gemma":[0.9842144,0.00007647245,0.01450597,0.00008438653,0.0006587644,0.000004230675,0.000001476324,0.00004281046,0.0004114531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5889689,"threshold_uncertainty_score":0.8227021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547326731160269,"score_gpt":0.2375883062032721,"score_spread":0.1828556330872452,"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."}}