{"id":"W1993006785","doi":"10.1016/j.jtbi.2011.07.014","title":"Hamilton's rule in multi-level selection models","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Term (time); Population; Selection (genetic algorithm); Inclusive fitness; Evolutionary dynamics; Group selection; Mathematics; Mathematical economics; Simple (philosophy); Computer science; Artificial intelligence; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001518826,0.00005488422,0.0001360243,0.00009931151,0.0001026283,0.000006696543,0.0001678569,0.0001448616,0.0006386825],"category_scores_gemma":[0.0002768002,0.00004294396,0.00005624906,0.0001454746,0.0006409868,0.0001880266,0.00001269428,0.0002046679,0.00001739305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000714873,"about_ca_system_score_gemma":0.0001033077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005230936,"about_ca_topic_score_gemma":0.00009805679,"domain_scores_codex":[0.99872,0.0006811899,0.000262277,0.0000773881,0.0000815435,0.000177586],"domain_scores_gemma":[0.9995173,0.0001170593,0.0001002876,0.00004177211,0.0001531202,0.00007048128],"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":[0.0001594259,0.0001204076,0.001594014,7.875901e-7,0.000007980996,0.000003020186,0.003482435,0.00006308192,0.0009055609,0.9920412,0.00001620469,0.001605849],"study_design_scores_gemma":[0.000343475,0.0001949167,0.003338743,0.00001136081,0.000008850785,0.00001632801,0.0006779398,0.001113904,0.0004368259,0.9934991,0.0002894399,0.00006913316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961684,0.0001592693,0.07013824,0.0006409686,0.0004587701,0.0000927139,0.000003165108,0.00001584857,0.03232262],"genre_scores_gemma":[0.9949749,0.0001219614,0.004505326,0.000131328,0.0001245272,0.000001527131,6.198895e-7,0.000003407918,0.0001364459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09880646,"threshold_uncertainty_score":0.6993125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0958807150794702,"score_gpt":0.334057045103931,"score_spread":0.2381763300244608,"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."}}