{"id":"W2751794303","doi":"10.1101/184754","title":"A Neuroeconomic Framework for Creative Cognition","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroeconomics; Falsifiability; Creativity; Cognition; Psychology; Cognitive science; Value (mathematics); Process (computing); Cognitive psychology; Neuroscience; Social psychology; Computer science; Epistemology","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":[0.001373444,0.0005108417,0.0004181879,0.001168009,0.0006620305,0.003653283,0.001066062,0.001063279,0.007830605],"category_scores_gemma":[0.002344055,0.0001863604,0.0007264654,0.0008207842,0.005639122,0.003564687,0.001481846,0.001468666,0.0004522449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524796,"about_ca_system_score_gemma":0.0009452556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386425,"about_ca_topic_score_gemma":0.0007669996,"domain_scores_codex":[0.9995773,0.0001744208,0.00001756488,0.00007587626,0.0001114099,0.0000434599],"domain_scores_gemma":[0.9988223,0.0006285659,0.0001272752,0.00008690786,0.0001741819,0.0001607451],"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":[0.000002055888,0.000003944022,0.00006001291,0.000007262631,0.000002905669,0.00001594661,0.00002561564,0.002548008,0.00004635523,0.9962631,0.0001999885,0.0008248159],"study_design_scores_gemma":[0.000003085343,0.00000171845,0.00006780567,0.000005426768,9.318053e-7,0.000008794078,0.00001925564,0.007870612,0.00001411928,0.9910007,0.001005487,0.000001967594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09562579,0.007259417,0.5374329,0.03644532,0.0005262476,0.0001099107,0.000391678,0.0001979073,0.3220108],"genre_scores_gemma":[0.9588687,0.001286715,0.03066225,0.0005163242,0.000461242,0.0001453033,0.00006168243,0.00003163249,0.007966053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007830605,"threshold_uncertainty_score":0.02619594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906389641003737,"score_gpt":0.3342670043739254,"score_spread":0.285203107963888,"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."}}