{"id":"W1887189846","doi":"10.48550/arxiv.1408.2512","title":"Computational Evidence that Self-regulation of Creativity is Good for Society","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Creativity; Copying; Novelty; Imitation; Value (mathematics); Function (biology); Diversity (politics); Psychology; Social psychology; Sociology; Computer science; Political science; Law","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":[0.0009979911,0.0002706383,0.0003846841,0.0006329846,0.0004935523,0.001943615,0.0007979042,0.0008261282,0.007741291],"category_scores_gemma":[0.01275245,0.0002858047,0.0004979569,0.0007162976,0.001224722,0.001911519,0.0009020263,0.0006835681,0.0005294376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006087634,"about_ca_system_score_gemma":0.0005832532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884057,"about_ca_topic_score_gemma":0.002237949,"domain_scores_codex":[0.9995903,0.0001926924,0.00002569484,0.000111863,0.00004825748,0.00003113307],"domain_scores_gemma":[0.9933786,0.004883885,0.0005659811,0.00065007,0.0002657886,0.0002556986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003604909,0.0002190754,0.06271029,0.0008394319,0.0005002546,0.0004699415,0.0007246521,0.4429505,0.005023833,0.3910233,0.01027401,0.08490421],"study_design_scores_gemma":[0.00009013495,0.00005163639,0.01348352,0.00005168004,0.0000900534,0.0002125183,0.0001804831,0.5719827,0.0007431674,0.4082951,0.004787793,0.00003120617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8111748,0.001226391,0.1031179,0.006631262,0.0001227181,0.00003071247,0.0006800538,0.0005559949,0.07646007],"genre_scores_gemma":[0.9900416,0.0001951468,0.008611495,0.0001406598,0.00001670481,0.00001831218,0.0001291815,0.00002471464,0.0008221186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007741291,"threshold_uncertainty_score":0.02589726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1901529661270986,"score_gpt":0.2963365072122367,"score_spread":0.1061835410851381,"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."}}