{"id":"W1562643333","doi":"10.65109/lhla5263","title":"Coalitional affinity games","year":2009,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Core (optical fiber); Stability (learning theory); Mathematical economics; Bounded function; Welfare; Class (philosophy); Social Welfare; Measure (data warehouse); Value (mathematics); Characterization (materials science); Mathematical optimization; Computer science; Mathematics; Economics; Artificial intelligence; Machine learning; Physics","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":[0.001162832,0.0005515979,0.0006098511,0.000525419,0.001210052,0.001586803,0.001550817,0.001244336,0.006409409],"category_scores_gemma":[0.006147058,0.0002046811,0.0005458838,0.000770964,0.00153236,0.002579532,0.002209905,0.001302158,0.0005542994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151026,"about_ca_system_score_gemma":0.0006961405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158948,"about_ca_topic_score_gemma":0.002190606,"domain_scores_codex":[0.9983779,0.0007304326,0.00006522927,0.0002195253,0.0003552535,0.0002515968],"domain_scores_gemma":[0.9975714,0.001245441,0.000302433,0.0002783376,0.0002983676,0.0003039841],"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":[0.00003092582,0.00004073637,0.000570047,0.00003788316,0.00002310691,0.0000978891,0.0002370429,0.01802215,0.000793877,0.9693329,0.001404213,0.009409177],"study_design_scores_gemma":[0.00002904572,0.00004175112,0.0004305703,0.00001466638,0.00001482782,0.0001427917,0.0001724708,0.1716221,0.0004821881,0.8184505,0.00858522,0.00001381014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.184024,0.00047545,0.73145,0.001221385,0.00009845851,0.00025698,0.0002959192,0.000131599,0.08204614],"genre_scores_gemma":[0.9393367,0.0002179703,0.0480368,0.0002474331,0.00006203965,0.000194241,0.0001383881,0.00002254093,0.01174399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006409409,"threshold_uncertainty_score":0.02144158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101661651427376,"score_gpt":0.2226297255929938,"score_spread":0.18161310907872,"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."}}