{"id":"W3156411587","doi":"10.2139/ssrn.3387335","title":"Matching Function Equilibria: Existence, Uniqueness and Estimation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Uniqueness; Function (biology); Mathematics; Matching (statistics); Mathematical economics; Estimation; Applied mathematics; Econometrics; Economics; Mathematical optimization; Statistics; Mathematical analysis; Biology; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873087,0.00008982668,0.0001131483,0.00007783817,0.0004206116,0.0001359041,0.0001367781,0.00009448826,0.0000207377],"category_scores_gemma":[0.00002427566,0.00008568937,0.0000398513,0.0001869613,0.00005743406,0.0004915493,0.00002114339,0.0006581292,0.00002576926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952505,"about_ca_system_score_gemma":0.001385258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005455672,"about_ca_topic_score_gemma":0.001979279,"domain_scores_codex":[0.9982021,0.0001399806,0.000160357,0.0001486842,0.0002734084,0.00107546],"domain_scores_gemma":[0.9996088,0.00004495051,0.0001091562,0.00008399065,0.00007849342,0.00007465669],"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":[0.00001933484,0.00001348492,0.01506454,0.000006373185,0.00002954288,5.379513e-7,0.002940682,0.0002432168,0.0003823111,0.9722852,0.000006086223,0.009008658],"study_design_scores_gemma":[0.0003221398,0.0001295007,0.00931323,0.00001854216,0.00002576695,0.00003814598,0.03687416,0.001649568,0.000002073287,0.9508895,0.0005927557,0.0001446805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520286,0.0006967901,0.03812322,0.0003046837,0.0005450653,0.0001231069,6.156291e-7,0.0000423099,0.008135665],"genre_scores_gemma":[0.9949391,0.001896543,0.0003071766,0.00008146454,0.0001953345,0.000001720828,0.000002425655,0.00001152743,0.002564688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04291058,"threshold_uncertainty_score":0.3494311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011564018820619,"score_gpt":0.2615999518887005,"score_spread":0.2514843117004943,"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."}}