{"id":"W4411946060","doi":"10.1145/3736252.3742596","title":"Stable Matching with Contingent Priorities","year":2025,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Matching (statistics); Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006180409,0.0007590848,0.00151749,0.001037248,0.001553094,0.002875722,0.002476997,0.003125661,0.02000738],"category_scores_gemma":[0.02560073,0.0006654788,0.001416102,0.001860352,0.002721905,0.006038581,0.002604798,0.003661781,0.001622643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574757,"about_ca_system_score_gemma":0.002320668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472873,"about_ca_topic_score_gemma":0.003415316,"domain_scores_codex":[0.9941467,0.003260774,0.0002435124,0.001063024,0.0006140471,0.0006719291],"domain_scores_gemma":[0.98646,0.008243993,0.001882177,0.001925762,0.0006222568,0.0008657164],"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":[0.0001671826,0.0001263912,0.001243019,0.00009442195,0.00003786224,0.0001766694,0.0002808427,0.04207107,0.0008518354,0.9358073,0.002225608,0.01691775],"study_design_scores_gemma":[0.0001781139,0.00008814057,0.0004841739,0.00002258115,0.00001996584,0.0001044747,0.0001095982,0.1733226,0.0004004472,0.8208738,0.004368925,0.00002715015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029319,0.000340906,0.8647813,0.003222788,0.00009375175,0.0003628112,0.0007522852,0.0003108533,0.02720354],"genre_scores_gemma":[0.855274,0.0003121357,0.1287178,0.0004451498,0.0001194276,0.00036581,0.0002540844,0.00007214487,0.01443945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02000738,"threshold_uncertainty_score":0.06693131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220617329773456,"score_gpt":0.2412663933781929,"score_spread":0.2290602200804583,"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."}}