{"id":"W2570842677","doi":"10.1145/3024062","title":"Special Issue on Musical Metacreation, Part I","year":2016,"lang":"en","type":"article","venue":"Computers in entertainment","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Musical; Computer science; Visual arts; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0001874935,0.0001433627,0.00018722,0.0001333625,0.00008389045,0.00003270316,0.0006443292,0.00006148456,0.00009126221],"category_scores_gemma":[0.00002845465,0.00009557814,0.00005797209,0.00014867,0.00009259743,0.0001193907,0.0003381095,0.00008593395,0.0001883016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340786,"about_ca_system_score_gemma":0.00001499147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003198542,"about_ca_topic_score_gemma":0.00001314764,"domain_scores_codex":[0.9987918,0.00006823198,0.0002304481,0.0004177387,0.0002164241,0.0002753978],"domain_scores_gemma":[0.9992285,0.0001665335,0.00004908069,0.0004909924,0.00001723972,0.00004769091],"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":[0.00002856784,0.0003454448,0.004588722,0.000005632081,0.00005920805,0.00008896682,0.002139502,0.00001966684,0.00003213164,0.2335707,0.2255782,0.5335432],"study_design_scores_gemma":[0.001045511,0.0002522875,0.008996617,0.00011511,0.000003887317,0.000007055632,0.00004208836,0.000590319,0.0002411698,0.009966029,0.9785104,0.0002295525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09713852,0.00006173127,0.8048851,0.03564405,0.01374818,0.0005739587,0.000004718206,0.000522362,0.04742134],"genre_scores_gemma":[0.9501292,0.0001458076,0.03105487,0.006807243,0.009010966,0.0001301647,0.000002684088,0.00002005186,0.002699033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8529907,"threshold_uncertainty_score":0.3897563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328981486531632,"score_gpt":0.2377191304812501,"score_spread":0.2244293156159338,"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."}}