{"id":"W4236686017","doi":"10.1017/cbo9780511843068","title":"Music Sketches","year":2015,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sketch; Musical; Variety (cybernetics); Autograph; Selection (genetic algorithm); Computer science; Visual arts; Art; Literature; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.0001234511,0.0003482236,0.0005314305,0.0002057928,0.0003717358,0.0000941594,0.000525583,0.0003234841,0.0003045906],"category_scores_gemma":[0.00001360307,0.0003555027,0.0003338872,0.00000592464,0.0008374762,0.00009968923,0.0003250744,0.0005143107,0.0001751533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412573,"about_ca_system_score_gemma":0.0003545533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336727,"about_ca_topic_score_gemma":0.0001800086,"domain_scores_codex":[0.9987165,0.00008069987,0.0001767184,0.0004562234,0.0002587177,0.0003111623],"domain_scores_gemma":[0.9987473,0.00007632429,0.0001930576,0.0004594804,0.0003096981,0.000214099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000237937,0.00001235018,8.759659e-8,0.00003425374,0.0001692825,0.00009943676,0.0007439809,2.812617e-7,7.714743e-7,0.4966865,0.5018296,0.0003996541],"study_design_scores_gemma":[0.0003460324,0.00005095474,9.901229e-7,0.00005182023,0.0007073567,0.000002676042,0.0002977725,0.00001528316,0.000006809439,0.0001000051,0.9980076,0.0004127056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001665948,0.0001463892,0.00001244299,0.00003605512,0.0007532358,0.000214787,0.0003407394,0.000180618,0.9981492],"genre_scores_gemma":[0.0004709478,0.00001151181,0.000008738092,0.0004549965,0.001490035,0.0000011836,0.0001996622,0.00003469883,0.9973282],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4965865,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969921528388132,"score_gpt":0.1926661453689915,"score_spread":0.1329669300851101,"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."}}