{"id":"W2884803950","doi":"","title":"Imaginary Miles: Modeling Musebots after Musicians","year":2018,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"The Imaginary; Improvisation; Jazz; Variety (cybernetics); Musical; Computer science; Replicate; Style (visual arts); Cognitive science; Visual arts; Artificial intelligence; Psychology; Art; Mathematics; Psychoanalysis","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":[0.0008773098,0.0005677934,0.0005082519,0.0005556798,0.0008768999,0.002184103,0.002531193,0.001767579,0.009648909],"category_scores_gemma":[0.003558713,0.0006949652,0.000936195,0.0003974547,0.001362863,0.002247512,0.002204902,0.001322575,0.001415619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155657,"about_ca_system_score_gemma":0.001346484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719248,"about_ca_topic_score_gemma":0.01769808,"domain_scores_codex":[0.9996849,0.0001018908,0.00001176598,0.00009306861,0.00005788916,0.00005043094],"domain_scores_gemma":[0.9991663,0.0004090447,0.00009519082,0.0001006135,0.00008388647,0.0001450694],"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":[0.000105193,0.00007500957,0.003032498,0.00006867148,0.00003274152,0.0002167413,0.000702302,0.8698162,0.001265913,0.1129661,0.002966999,0.008751654],"study_design_scores_gemma":[0.00001739276,0.0000202479,0.0002339422,0.0000128445,0.000008266129,0.00002315255,0.0001174971,0.9770076,0.0002319902,0.01575962,0.00655913,0.000008364263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2405969,0.0007227584,0.679222,0.001657103,0.0002195564,0.0002065262,0.001300116,0.002320153,0.07375494],"genre_scores_gemma":[0.8019917,0.0003800428,0.1636701,0.0001945121,0.00009213645,0.0004263618,0.00103422,0.0007271102,0.03148378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01719248,"threshold_uncertainty_score":0.03418481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191830930915234,"score_gpt":0.2295518613151846,"score_spread":0.2203600303842694,"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."}}