{"id":"W1492153018","doi":"10.1111/j.1558-5646.2010.01162.x","title":"INCLUSIVE FITNESS ANALYSIS ON MATHEMATICAL GROUPS","year":2010,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Trait; Inclusive fitness; Transitive relation; Wright; Population; Group selection; Set (abstract data type); Selection (genetic algorithm); Evolutionary biology; Mathematics; Combinatorics; Computer science; Demography; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001541403,0.0001044261,0.0001093049,0.00009113867,0.00009921822,0.00001244218,0.0001280694,0.0001672245,0.0001408309],"category_scores_gemma":[0.0001143138,0.0000980774,0.0001260398,0.0002318153,0.0000761385,0.000002049602,0.00007688998,0.0001252949,0.0001110686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002157787,"about_ca_system_score_gemma":0.00003611909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007351543,"about_ca_topic_score_gemma":0.0002162593,"domain_scores_codex":[0.9992638,0.00003207631,0.0001429318,0.0002525355,0.0001452359,0.000163404],"domain_scores_gemma":[0.9994288,0.000009388143,0.00005158071,0.0003631361,0.00007260281,0.00007448431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001542017,0.0005334218,0.01802311,0.00002593916,0.0005707181,0.000003915155,0.0001515912,0.007008085,0.8445597,0.1229832,0.004016916,0.001969249],"study_design_scores_gemma":[0.002611675,0.001165122,0.7056897,0.00002317407,0.001042382,0.00007259528,0.0004098331,0.1609393,0.03052022,0.06274678,0.03313116,0.001648058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686221,0.00003177354,0.126038,0.0002224004,0.0001877816,0.00009141884,0.00001433595,0.00002043598,0.004771758],"genre_scores_gemma":[0.9964622,0.000005974431,0.001750191,0.000136274,0.0002271278,0.00001219413,0.0001770809,0.00001037281,0.001218567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8140395,"threshold_uncertainty_score":0.399948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003149131735384005,"score_gpt":0.2513221415391868,"score_spread":0.2481730098038028,"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."}}