{"id":"W2790916376","doi":"10.1007/s10107-020-01483-4","title":"Computing the nucleolus of weighted cooperative matching games in polynomial time","year":2020,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"","keywords":"Mathematics; Matching (statistics); Time complexity; Polynomial; Combinatorics; Theoretical computer science; Algorithm; Mathematical optimization; Computer science; Mathematical analysis; Statistics","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":[0.002793858,0.001114839,0.002257033,0.001067816,0.001123829,0.004024924,0.002149986,0.001637121,0.008109068],"category_scores_gemma":[0.01819939,0.0009329066,0.001062709,0.001207059,0.002250563,0.005614611,0.002401787,0.002434697,0.0008906599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245394,"about_ca_system_score_gemma":0.003037929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723742,"about_ca_topic_score_gemma":0.006587444,"domain_scores_codex":[0.9979764,0.0008913759,0.00007562848,0.0004514928,0.0002511981,0.0003539513],"domain_scores_gemma":[0.9865752,0.01131505,0.0006009125,0.0005302582,0.0004136462,0.0005650458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006648831,0.0003063352,0.001992645,0.0002935922,0.0001070373,0.0001159418,0.0003396774,0.502145,0.002436359,0.4444841,0.006304459,0.04081008],"study_design_scores_gemma":[0.00005136652,0.00003107306,0.0001304051,0.00001577909,0.00001264926,0.0000165658,0.00007445726,0.6466839,0.000514627,0.351947,0.0005125307,0.000009674253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092469,0.0003136601,0.774169,0.001320629,0.000102373,0.0001639684,0.0004975649,0.0008092908,0.01337673],"genre_scores_gemma":[0.8198388,0.0002459179,0.1727062,0.0002595878,0.0000890564,0.0002414668,0.0007053886,0.0004146319,0.005498979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008109068,"threshold_uncertainty_score":0.0271275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933425322872214,"score_gpt":0.2293112564682024,"score_spread":0.1999770032394803,"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."}}