{"id":"W3040694556","doi":"10.1093/oxfordhb/9780190636197.013.17","title":"Creating with Constraints","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Improvisation; Style (visual arts); Manifesto; Musical; Active listening; Art; Variety (cybernetics); Composition (language); Creativity; Visual arts; Repetition (rhetorical device); Computer science; Aesthetics; Cognitive science; Literature; Psychology; Linguistics; Philosophy; Artificial intelligence; Communication; Social psychology","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":[0.00003717888,0.0002467608,0.0003049251,0.00008011163,0.0003111296,0.00004415725,0.0009146946,0.000254612,0.00001210475],"category_scores_gemma":[0.00000523888,0.0002408082,0.00007922416,0.000009526257,0.0005142546,0.00008734121,0.000742468,0.0004405455,0.000001576288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004731738,"about_ca_system_score_gemma":0.00008397835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000072731,"about_ca_topic_score_gemma":0.00001099539,"domain_scores_codex":[0.9990608,0.00001234279,0.00009724571,0.0004674841,0.0001755479,0.0001865822],"domain_scores_gemma":[0.9992092,0.0000565101,0.0001448487,0.0004448086,0.00006596583,0.00007868979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000145679,0.000002357867,0.000004169734,0.00001989837,0.0001451834,0.0003901367,0.0005773069,7.35992e-7,0.000001100632,0.9864227,0.0007485833,0.01167329],"study_design_scores_gemma":[0.0003010838,0.0000932369,0.000004372031,0.00008648226,0.00005298362,0.00002256256,0.00005206098,0.00008938105,0.00001657689,0.00375656,0.995242,0.0002827148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001248709,0.00003160913,0.04491733,0.0001048381,0.00006730763,0.0001578586,0.00001711259,0.0004202395,0.9542712],"genre_scores_gemma":[0.003699869,0.00004426645,0.009073536,0.0001642482,0.00003839477,5.137408e-7,0.000003367295,0.0000152074,0.9869606],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9944934,"threshold_uncertainty_score":0.9819875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196136332198237,"score_gpt":0.1870314932905187,"score_spread":0.1650701299685364,"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."}}