{"id":"W2012697739","doi":"10.1145/2600057.2602884","title":"Reasoning about optimal stable matchings under partial information","year":2014,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Matching (statistics); Preference; Mathematics; Stable marriage problem; Polynomial; Construct (python library); Optimal matching; Order (exchange); Existential quantification; Computer science; Combinatorics; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001224573,0.00008740054,0.0001920203,0.00008398122,0.0001110744,0.000153731,0.0001171292,0.00006381544,0.0005970108],"category_scores_gemma":[0.000102611,0.00009299907,0.00004882173,0.00008099317,0.00001894903,0.0007041208,0.00003087936,0.00008646689,0.002736595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003091851,"about_ca_system_score_gemma":0.000005517256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002741592,"about_ca_topic_score_gemma":0.000003660786,"domain_scores_codex":[0.999176,0.00001861478,0.0004293053,0.0001297223,0.00002491266,0.0002214442],"domain_scores_gemma":[0.9994849,0.00004140581,0.0002228567,0.0001810407,0.00001621878,0.00005356268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000740708,0.000008143275,0.004453132,0.00001619956,0.000009739852,4.744132e-8,0.0004801951,0.002356747,0.00000615187,0.9917997,0.0005490077,0.0003135009],"study_design_scores_gemma":[0.001596983,0.0001647107,0.02304095,0.0001069958,0.000009178565,0.00001575945,0.001072607,0.2305506,0.0006213584,0.1559209,0.5860209,0.0008789378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.384237,0.00004679122,0.413666,0.000191822,0.0004259145,0.00008971467,0.00001057244,0.0001097544,0.2012225],"genre_scores_gemma":[0.9951794,0.000003408365,0.001837344,0.0004192253,0.0001206644,0.000007931918,0.00001189706,0.000009020004,0.002411081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8358788,"threshold_uncertainty_score":0.9980399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461087914081413,"score_gpt":0.2001002832855828,"score_spread":0.1854894041447686,"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."}}