{"id":"W2048338869","doi":"10.1007/s10710-008-9074-x","title":"Incorporating characteristics of human creativity into an evolutionary art algorithm","year":2008,"lang":"en","type":"article","venue":"Genetic Programming and Evolvable Machines","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Simon Fraser University","funders":"","keywords":"Fitness function; Creativity; Evolutionary algorithm; Process (computing); Function (biology); Darwin (ADL); Computational creativity; Associative property","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":[0.0004592,0.0001798026,0.0002566144,0.0003177056,0.0002849958,0.0007947122,0.0004415205,0.0004920473,0.001397394],"category_scores_gemma":[0.002454085,0.00015721,0.000276478,0.0003627491,0.0007529035,0.001215397,0.0007026959,0.000473907,0.0001535497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884087,"about_ca_system_score_gemma":0.000294902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00040435,"about_ca_topic_score_gemma":0.0006319589,"domain_scores_codex":[0.9998507,0.000052539,0.000006858231,0.00002151283,0.00005616634,0.00001209371],"domain_scores_gemma":[0.9994264,0.0003520657,0.00003550256,0.0000821643,0.00007426977,0.00002970622],"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":[0.0001316648,0.0001183844,0.004831774,0.0001372839,0.0000923656,0.0002721296,0.0007156367,0.5384706,0.02395329,0.2243755,0.000927115,0.2059743],"study_design_scores_gemma":[0.00002541696,0.0001012796,0.001023087,0.0000138438,0.00002792731,0.0002009839,0.00007368822,0.9245273,0.002847988,0.06840164,0.002736239,0.00002069314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1031611,0.0001394074,0.8806757,0.0001858578,0.0000375329,0.00005132978,0.00001479515,0.0001366712,0.01559762],"genre_scores_gemma":[0.7706903,0.0001135867,0.2263886,0.00004673376,0.00002309428,0.00007011306,0.00001456252,0.00004134415,0.00261171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001397394,"threshold_uncertainty_score":0.004674792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544792161054853,"score_gpt":0.2488859365734192,"score_spread":0.2334380149628707,"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."}}