{"id":"W2469769293","doi":"10.1017/s0140525x15000084","title":"Mother–infant cultural group selection","year":2016,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Selection (genetic algorithm); Group selection; Cultural group selection; Group (periodic table); Psychology; Social psychology; Sociology; Developmental psychology; Anthropology; Ethnic group; Computer science; Artificial intelligence; Chemistry","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":[],"category_scores_codex":[0.0001663441,0.0002992359,0.0002688339,0.0001917305,0.0003191145,0.0001839545,0.0002995168,0.0002463645,0.002327127],"category_scores_gemma":[0.000006000763,0.0001803858,0.0001168289,0.0002665174,0.0006726486,0.0002311862,0.00006103641,0.0004588048,0.0001703987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002595582,"about_ca_system_score_gemma":0.00002555337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080445,"about_ca_topic_score_gemma":0.0000385766,"domain_scores_codex":[0.997838,0.0001649408,0.0002734331,0.0007538606,0.0004111376,0.0005586458],"domain_scores_gemma":[0.9994724,0.00007262635,0.0001638634,0.0001709757,0.00004652671,0.00007358949],"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":[0.0000064081,0.00003711254,0.007961236,0.000005640647,0.000004176749,0.0001046884,0.0001073873,1.581288e-8,0.002253984,0.0002241673,0.9513864,0.03790878],"study_design_scores_gemma":[0.0003019827,0.0003774629,0.01973779,0.00002864311,0.0000404366,0.0003945647,0.00007387529,0.000001231674,0.00008331502,0.00009704058,0.9785319,0.0003317688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3554677,0.0001282158,0.00001312325,0.6404009,0.001539642,0.000339698,0.00005359502,0.0001627686,0.001894324],"genre_scores_gemma":[0.1051918,0.00001936993,0.0003826315,0.5365723,0.008774444,0.0002701549,0.0001125559,0.0000945647,0.3485822],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3466879,"threshold_uncertainty_score":0.9985849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08118879316476968,"score_gpt":0.3891617432885745,"score_spread":0.3079729501238048,"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."}}