{"id":"W2788411626","doi":"10.1145/3167476","title":"Evaluating Computational Creativity","year":2018,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Creativity; Computer science; Computational creativity; Task (project management); Creativity technique; Cognitive science; Software; Human–computer interaction; Cognition; Data science; Artificial intelligence; Psychology; Programming language","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":[0.009082359,0.001030318,0.001137899,0.006275053,0.0006062143,0.005178408,0.00132331,0.001121465,0.01043369],"category_scores_gemma":[0.06197378,0.0002335748,0.0009468627,0.005997481,0.001418157,0.004647064,0.002415613,0.001332341,0.002174994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849916,"about_ca_system_score_gemma":0.00234032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152956,"about_ca_topic_score_gemma":0.002174785,"domain_scores_codex":[0.9902436,0.00468965,0.0008921758,0.0006699467,0.003295007,0.0002096375],"domain_scores_gemma":[0.9678678,0.02099354,0.002617759,0.00132356,0.006542627,0.0006546853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007255345,0.00005754818,0.003361139,0.004965162,0.0001812789,0.00002717995,0.0003894858,0.0005164269,0.0001556959,0.02476418,0.01366769,0.9518418],"study_design_scores_gemma":[0.0001884342,0.000535139,0.03837693,0.04123073,0.0009519698,0.001328179,0.003056265,0.003726093,0.00285026,0.1688127,0.7387184,0.0002249516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0169412,0.8039097,0.04502856,0.005729429,0.002024766,0.0007486021,0.0009760075,0.0003190851,0.1243227],"genre_scores_gemma":[0.2711359,0.6282024,0.07448551,0.003627437,0.002040583,0.00183944,0.002618477,0.0002482464,0.01580205],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01043369,"threshold_uncertainty_score":0.0480327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4074853096323455,"score_gpt":0.5620924236654873,"score_spread":0.1546071140331418,"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."}}