{"id":"W2067139752","doi":"10.1080/15659801.2013.853436","title":"A theory of supply-driven evolution for cultural evolution","year":2013,"lang":"en","type":"article","venue":"Israel Journal of Ecology and Evolution","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Variation (astronomy); Sociocultural evolution; Selection (genetic algorithm); Mechanism (biology); Natural selection; Process (computing); Epistemology; Cultural neuroscience; Cultural analysis; Sociology; Evolutionary biology; Computer science; Social science; Artificial intelligence; Biology; Anthropology; Philosophy","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":[0.002246242,0.000670417,0.0009100704,0.0012173,0.001871063,0.003037767,0.0021014,0.003936637,0.02000257],"category_scores_gemma":[0.005567366,0.0002886868,0.001041599,0.001374056,0.00526073,0.004789647,0.002011848,0.002608227,0.002606792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974272,"about_ca_system_score_gemma":0.001695623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223946,"about_ca_topic_score_gemma":0.001703429,"domain_scores_codex":[0.99914,0.000320974,0.00002852261,0.0001923649,0.0002266008,0.00009153229],"domain_scores_gemma":[0.9985825,0.000793218,0.0001551789,0.000145015,0.0002151465,0.0001089169],"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":[0.000003035523,0.000006784936,0.000254007,0.00002556567,0.00001065507,0.00005197176,0.0001229694,0.003067963,0.00008984231,0.9908307,0.001230383,0.004306186],"study_design_scores_gemma":[0.00001000835,0.00001141439,0.0001969877,0.00001525546,0.000005902509,0.0001071908,0.00005500005,0.00851418,0.00003486536,0.9825067,0.008533845,0.000008668476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02523361,0.00325451,0.6364632,0.03847687,0.0009450485,0.0002037111,0.0004180741,0.0002403893,0.2947647],"genre_scores_gemma":[0.7975344,0.004750671,0.1092473,0.00659101,0.001475815,0.0009142202,0.0002794326,0.0001727287,0.07903444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02000257,"threshold_uncertainty_score":0.06691527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471705674288929,"score_gpt":0.2856616059854599,"score_spread":0.2709445492425706,"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."}}