{"id":"W2102531573","doi":"10.1017/s026626711300028x","title":"MEASURING GROUP FITNESS IN A BIOLOGICAL HIERARCHY: AN AXIOMATIC SOCIAL CHOICE APPROACH","year":2013,"lang":"en","type":"article","venue":"Economics and Philosophy","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Axiom; Hierarchy; Multicellular organism; Axiomatic system; Group (periodic table); Mathematical economics; Soma; Social choice theory; Inclusive fitness; Mathematics; Psychology; Social psychology; Biology; Economics; Genetics","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":[0.013467,0.0007901219,0.0009309342,0.002414635,0.001428926,0.002944499,0.002145949,0.001839894,0.003364818],"category_scores_gemma":[0.01916791,0.0004094872,0.0009613242,0.001749808,0.00934797,0.005659441,0.002969531,0.002736135,0.0003357921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003206326,"about_ca_system_score_gemma":0.001672836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283807,"about_ca_topic_score_gemma":0.001777399,"domain_scores_codex":[0.9878824,0.008533898,0.0003824485,0.0006286435,0.002267743,0.0003048422],"domain_scores_gemma":[0.9866788,0.008885017,0.001207146,0.001388142,0.001378453,0.0004624613],"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":[0.000006100137,0.00001796122,0.0005028825,0.00002737411,0.00001615475,0.00001579514,0.0001232763,0.004788645,0.0001648538,0.9902262,0.0001839218,0.003926759],"study_design_scores_gemma":[0.000008611367,0.00002635252,0.0005401595,0.00001619684,0.00000719132,0.00002595806,0.0000823489,0.02502052,0.00008925728,0.9727767,0.001394466,0.00001233147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0426342,0.0004473397,0.9248571,0.003243001,0.00008750609,0.0001229094,0.00008523261,0.00004279022,0.02847988],"genre_scores_gemma":[0.7007606,0.0003650145,0.2956159,0.0004347357,0.00009547963,0.0004026497,0.00009535923,0.00002221178,0.002208136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.013467,"threshold_uncertainty_score":0.07122117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556689064692381,"score_gpt":0.2648938256307335,"score_spread":0.1793269349838097,"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."}}