{"id":"W2990411537","doi":"10.1017/s0140525x19003236","title":"The elephant in the room: What matters cognitively in cumulative technological culture","year":2019,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Natural Sciences and Engineering Research Council of Canada; Harvard University; Université de Lyon; Australian Research Council; Radcliffe Institute for Advanced Study, Harvard University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Imitation; Phenomenon; Emulation; Cognition; Cognitive science; Metacognition; Dimension (graph theory); Psychology; Social phenomenon; Cognitive psychology; Epistemology; Sociology; Social psychology; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135654,0.0003306996,0.0004770181,0.001035557,0.001689423,0.006276947,0.0009398445,0.001433052,0.003275251],"category_scores_gemma":[0.01460337,0.0003091128,0.0004669359,0.0008291218,0.01700002,0.01475177,0.002969992,0.002417554,0.0002966885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157388,"about_ca_system_score_gemma":0.0007904612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400108,"about_ca_topic_score_gemma":0.001833453,"domain_scores_codex":[0.9984677,0.0005980034,0.00004605971,0.0004244232,0.0002332302,0.0002305297],"domain_scores_gemma":[0.9934411,0.004058069,0.001035669,0.0004446808,0.0004493568,0.0005711185],"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":[0.0003771845,0.0004610125,0.1281296,0.0009579003,0.0002695877,0.001368514,0.3659878,0.00163918,0.009415369,0.3885277,0.003554774,0.0993114],"study_design_scores_gemma":[0.00007764089,0.0004475048,0.2093246,0.000623691,0.00026808,0.001066442,0.1981944,0.004940896,0.003785826,0.5533188,0.02765349,0.0002987267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191827,0.002309081,0.008926848,0.0118182,0.0001843424,0.00002324589,0.00004063612,0.00004598321,0.05746897],"genre_scores_gemma":[0.9967138,0.0005567812,0.000986533,0.0007712907,0.00005057326,0.00001404183,0.00001514707,0.00002405449,0.0008678187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006276947,"threshold_uncertainty_score":0.01129454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04431113784301077,"score_gpt":0.3606702955870327,"score_spread":0.316359157744022,"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."}}