{"id":"W3162190608","doi":"10.1098/rstb.2020.0056","title":"The uses and abuses of tree thinking in cultural evolution","year":2021,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phylogenetic tree; Phylogenetic comparative methods; Trait; Scope (computer science); Theme (computing); Epistemology; Unobservable; Big Five personality traits and culture; Tree of life (biology); Perspective (graphical); Comparative method; Sociology; Data science; Evolutionary biology; Computer science; Biology; Psychology; Artificial intelligence; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0113737,0.0009043503,0.001650882,0.005751534,0.001084315,0.004530535,0.002203433,0.00339069,0.00163915],"category_scores_gemma":[0.01527168,0.0005226347,0.0007601894,0.006173537,0.0172718,0.008904614,0.002970064,0.006722225,0.0005799306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003398826,"about_ca_system_score_gemma":0.004564345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005116869,"about_ca_topic_score_gemma":0.005026597,"domain_scores_codex":[0.9957607,0.002748144,0.0002694185,0.0003606065,0.0007355808,0.0001254871],"domain_scores_gemma":[0.9818211,0.01584853,0.0005250424,0.0004689988,0.001049587,0.0002866538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006020321,0.00002403449,0.0005714683,0.009971476,0.0001595534,0.000179539,0.003752489,0.001005238,0.0001673597,0.3394687,0.01077616,0.6338638],"study_design_scores_gemma":[0.00001940165,0.00008663794,0.002304359,0.02242651,0.0001124204,0.001111176,0.001945395,0.0007201341,0.0002594701,0.2700197,0.7009079,0.00008682329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002728421,0.9913356,0.001608501,0.004675033,0.0003864255,0.000004140301,0.000006116414,0.00000572567,0.001705567],"genre_scores_gemma":[0.006965955,0.9885902,0.001681443,0.001554223,0.0008134529,0.00002229204,0.00001247065,0.00001162603,0.0003483296],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0113737,"threshold_uncertainty_score":0.06015056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154625466829127,"score_gpt":0.3691277044674711,"score_spread":0.2536651577845583,"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."}}