{"id":"W2531643062","doi":"10.1017/s0140525x15000138","title":"How evolved psychological mechanisms empower cultural group selection","year":2016,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variety (cybernetics); Selection (genetic algorithm); Group selection; Competition (biology); Psychology; Variation (astronomy); Group (periodic table); Social psychology; Mechanism (biology); Social group; Cognitive psychology; Computer science; Biology; Ecology; Epistemology; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001196182,0.0002394715,0.0002216889,0.0001084983,0.001900809,0.0006751917,0.0004284181,0.0006507264,0.0004806648],"category_scores_gemma":[0.000078026,0.0001495041,0.00009912665,0.0003906404,0.00183165,0.001028432,0.000054239,0.0004693675,0.00003011655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007793186,"about_ca_system_score_gemma":0.00007461697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001937353,"about_ca_topic_score_gemma":0.0003319141,"domain_scores_codex":[0.9972318,0.0006148687,0.0001759256,0.0006818848,0.000743617,0.0005518709],"domain_scores_gemma":[0.999419,0.000129847,0.0001337523,0.0001013738,0.0001229897,0.00009300958],"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":[0.00002294371,0.00008257874,0.0005064405,0.000007624389,0.000007040523,0.00003059562,0.001515019,1.348827e-7,0.005463951,0.07057966,0.9014835,0.02030046],"study_design_scores_gemma":[0.0002048064,0.0007112125,0.0006865726,0.00005091263,0.00002951506,0.00002396684,0.001612502,0.000004818336,0.00004166962,0.03117191,0.9649596,0.0005025715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07166641,0.000152952,0.0007528129,0.9223318,0.001159971,0.0003945406,0.00002825155,0.0001902099,0.003323128],"genre_scores_gemma":[0.5569516,0.000239093,0.002363425,0.3305899,0.009885735,0.000179974,0.0001279372,0.00003174787,0.09963054],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5917419,"threshold_uncertainty_score":0.9993986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763860858249549,"score_gpt":0.3716253096683217,"score_spread":0.2952392238433668,"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."}}