{"id":"W4404856498","doi":"10.1007/s10107-024-02169-x","title":"Stabilization of capacitated matching games","year":2024,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Hausdorff Research Institute for Mathematics; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Mathematics; Matching (statistics); Numerical analysis; Mathematical optimization; Combinatorics; Mathematical economics; Statistics; Mathematical analysis","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":[0.001845807,0.0009533914,0.00176357,0.001005019,0.000896188,0.003057567,0.002335176,0.001608743,0.00862704],"category_scores_gemma":[0.01106769,0.0007308692,0.0008428981,0.001151384,0.002254704,0.002507935,0.00199377,0.001952146,0.0006386556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002938139,"about_ca_system_score_gemma":0.001942008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325454,"about_ca_topic_score_gemma":0.002353367,"domain_scores_codex":[0.998678,0.0007003679,0.00004179426,0.0002121565,0.00013985,0.0002277979],"domain_scores_gemma":[0.9944788,0.003654802,0.0006191709,0.0002835455,0.0004872894,0.0004764315],"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":[0.000151496,0.00009900834,0.0003356626,0.0001031399,0.00003969214,0.00005652855,0.0001410958,0.2612615,0.001229899,0.7262725,0.002878363,0.007431137],"study_design_scores_gemma":[0.00002976118,0.00002452818,0.00008458491,0.00001464522,0.000008883137,0.000008675216,0.00004374093,0.5333387,0.0002312545,0.4655566,0.0006496139,0.00000905252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2128233,0.0007594311,0.7320397,0.002601685,0.0001703898,0.0001485731,0.0003597549,0.0003525743,0.05074455],"genre_scores_gemma":[0.9593309,0.0003979183,0.0188975,0.0001828675,0.0001018697,0.000211706,0.0001669897,0.00008697997,0.02062327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00862704,"threshold_uncertainty_score":0.02886027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988937002543492,"score_gpt":0.2503558365901486,"score_spread":0.2104664665647137,"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."}}