{"id":"W4405338045","doi":"10.1080/10400419.2024.2440691","title":"Using AI to Generate Visual Art: Do Individual Differences in Creativity Predict AI-Assisted Art Quality?","year":2024,"lang":"en","type":"article","venue":"Creativity Research Journal","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Creativity; Psychology; Quality (philosophy); Cognitive psychology; Social psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01028797,0.0003868053,0.0006292706,0.00197828,0.0008418529,0.002406422,0.0007769588,0.0002422714,0.003784676],"category_scores_gemma":[0.002381315,0.000336048,0.0001935837,0.003246245,0.0008139127,0.0009899365,0.0003412729,0.003052291,0.0009518765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307354,"about_ca_system_score_gemma":0.001332659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217981,"about_ca_topic_score_gemma":0.000255095,"domain_scores_codex":[0.9890121,0.005608109,0.0008190985,0.001062253,0.002104282,0.001394123],"domain_scores_gemma":[0.9955216,0.002485542,0.0001345133,0.000530648,0.0004519946,0.000875688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008601112,0.004916255,0.7223579,0.000152436,0.0003059662,0.00128076,0.02017814,0.00008354653,0.04506183,0.00887903,0.1389455,0.0569785],"study_design_scores_gemma":[0.00100245,0.001135614,0.9636446,0.0006713287,0.00004516504,0.0009005384,0.003311025,0.002029335,0.001912541,0.001744064,0.02295561,0.0006477982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727455,0.0003677651,0.004805962,0.005863777,0.001568359,0.0005885232,0.0001192088,0.00009944596,0.01384141],"genre_scores_gemma":[0.9843896,0.00007592487,0.0002352756,0.0004683222,0.000796625,0.00009481883,0.00001341099,0.0000449709,0.01388104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2412866,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3948638909785431,"score_gpt":0.5735457395832066,"score_spread":0.1786818486046636,"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."}}