{"id":"W2520108470","doi":"10.1017/s0140525x15000205","title":"Is cultural group selection enough?","year":2016,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Group selection; Group (periodic table); Psychology; Cognitive psychology; Computer science; Artificial intelligence; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000529889,0.0002031575,0.0001927938,0.00007522554,0.001651056,0.0004205743,0.0003537047,0.0004944988,0.0008658562],"category_scores_gemma":[0.00003723234,0.0001164648,0.0001029352,0.0003860194,0.001314049,0.0008249374,0.00005455465,0.0003588001,0.0000774803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009437939,"about_ca_system_score_gemma":0.000109282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0059819,"about_ca_topic_score_gemma":0.001345801,"domain_scores_codex":[0.9977826,0.0001944912,0.0001773698,0.0005218447,0.0007486825,0.0005749676],"domain_scores_gemma":[0.9995556,0.00006207162,0.0001292305,0.00007538059,0.00009528716,0.00008242068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001505684,0.000008753514,0.0006848307,0.000006090484,0.000002869731,0.00001228467,0.005137885,6.488748e-9,0.0005960847,0.0004835936,0.9698133,0.02325282],"study_design_scores_gemma":[0.00008778326,0.0001222292,0.0005172457,0.00004716728,0.00002430139,0.00001003222,0.002183345,8.683761e-7,0.00004357618,0.0006125592,0.9960686,0.0002822668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07230363,0.0005214977,0.000006806534,0.9192556,0.000662314,0.0002655223,0.00003700806,0.0001334497,0.006814135],"genre_scores_gemma":[0.1076681,0.0005208261,0.0004425756,0.7462409,0.01825325,0.00007539257,0.00008662571,0.00002561152,0.1266867],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1730147,"threshold_uncertainty_score":0.9996486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0693718951918226,"score_gpt":0.3709584497746682,"score_spread":0.3015865545828457,"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."}}