{"id":"W1779819199","doi":"10.14288/1.0364139","title":"The Relationship between Creativity, Imitation, and Cultural Diversity","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering","keywords":"Diversity (politics); Imitation; Creativity; Cultural diversity; Population; Sociology; Computer science; Epistemology; Economic geography; Psychology; Social psychology; Geography; Anthropology; Demography; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001039161,0.0001305059,0.0001345668,0.00005146098,0.004409197,0.0001288788,0.0004003872,0.0002284903,0.0000194757],"category_scores_gemma":[0.0006847118,0.0001215412,0.00007432699,0.0002125661,0.0007558662,0.0003489469,0.0007503539,0.0003672348,0.00003818186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782107,"about_ca_system_score_gemma":0.0001196524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009642251,"about_ca_topic_score_gemma":0.001717711,"domain_scores_codex":[0.9982735,0.0009649599,0.0001071973,0.0003565699,0.0001056882,0.0001921109],"domain_scores_gemma":[0.9976641,0.001635715,0.0001478338,0.000238429,0.0002043517,0.0001095916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000136779,0.000005997742,0.4490644,0.000005979985,0.00001769493,0.000001291291,0.002202724,0.001513058,2.116855e-7,0.5468554,0.0002225007,0.00009706711],"study_design_scores_gemma":[0.0001731986,0.00001872054,0.5306476,0.00002793278,0.0001115075,2.106053e-7,0.003017549,0.001007786,8.410624e-7,0.4627567,0.002030147,0.0002077901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782944,0.00006581707,0.006485567,0.0008460404,0.0001843144,0.0002345933,0.00001462408,0.00008858256,0.0137861],"genre_scores_gemma":[0.9919023,0.0002121666,0.00002168092,0.0000263177,0.0002218102,6.288006e-7,0.00003495935,0.000005002676,0.007575138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08409872,"threshold_uncertainty_score":0.9968869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1696170757134011,"score_gpt":0.2549955733204433,"score_spread":0.08537849760704216,"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."}}