{"id":"W1832659264","doi":"10.5555/2034396.2034526","title":"Social distance games","year":2011,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Closeness; Transferable utility; Mathematical economics; Computer science; Context (archaeology); Stability (learning theory); Perspective (graphical); Social Welfare; Measure (data warehouse); Microeconomics; Game theory; Economics; Mathematics; Artificial intelligence; Machine learning; Data mining; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002975107,0.00005912224,0.0001518661,0.0000383978,0.00006476452,0.00001540305,0.0001196145,0.00004010799,0.001717095],"category_scores_gemma":[0.00001992655,0.00006263241,0.00005614678,0.00006879788,0.00003703368,0.00008176525,0.00001599584,0.00004536225,0.002103927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001346523,"about_ca_system_score_gemma":0.000002061311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008235587,"about_ca_topic_score_gemma":0.000008303919,"domain_scores_codex":[0.9994559,0.000007666153,0.0002299535,0.0001551523,0.000009291868,0.0001419923],"domain_scores_gemma":[0.9997423,0.000009596922,0.0001034064,0.000112691,0.000006723632,0.00002527937],"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":[0.000004926596,0.00002094285,0.02592571,0.000006134935,0.000008374427,7.047078e-7,0.001271066,6.080341e-8,0.000002242663,0.9713455,0.001213284,0.0002010816],"study_design_scores_gemma":[0.0003580547,0.00004388101,0.07845764,0.000007134965,0.000002514229,0.000003246673,0.0003838325,0.0001078725,0.0003138491,0.7509622,0.1690218,0.000337959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1187981,0.0002018111,0.008883688,0.00008782485,0.0002533809,0.00005240193,0.00001154059,0.00007554671,0.8716357],"genre_scores_gemma":[0.9814405,0.000002915673,0.0002626156,0.0001041698,0.0001005244,0.000005932525,9.671015e-7,0.000008735711,0.01807368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8626423,"threshold_uncertainty_score":0.9991955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08985606472725295,"score_gpt":0.2241985203543408,"score_spread":0.1343424556270879,"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."}}