{"id":"W2052338194","doi":"10.1121/1.4877231","title":"Categorization and lexicon in verbal descriptions of violin quality by performers","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Violin; Categorization; Timbre; Lexicon; Perception; Quality (philosophy); Context (archaeology); Psychology; Texture (cosmology); Acoustics; Linguistics; Computer science; Cognitive psychology; Artificial intelligence; Musical; Art; Visual arts; Epistemology; Image (mathematics); Philosophy; Physics","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":[0.001963988,0.0003721609,0.0002011134,0.001629582,0.0005839953,0.003145012,0.0003552247,0.0004947664,0.001777215],"category_scores_gemma":[0.01558446,0.0001825018,0.0002203377,0.0008639679,0.001919004,0.002328688,0.001432109,0.0004858493,0.0002393055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511309,"about_ca_system_score_gemma":0.0003562307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963786,"about_ca_topic_score_gemma":0.00170999,"domain_scores_codex":[0.9977391,0.00114252,0.0001782051,0.0003630902,0.0004402724,0.0001367871],"domain_scores_gemma":[0.9911596,0.005379003,0.001792041,0.0005563913,0.0009296632,0.0001832484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000719037,0.000136905,0.1682729,0.0008620985,0.0001033177,0.001208348,0.5817581,0.001300139,0.1065388,0.02221633,0.001188669,0.1156953],"study_design_scores_gemma":[0.00007993619,0.0005268825,0.4955671,0.0004813291,0.0001421496,0.003020767,0.4215596,0.01775825,0.01715092,0.02060826,0.02277387,0.0003309521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839599,0.0001539168,0.009726289,0.00008523001,0.00001484714,0.00005065879,0.000141884,0.00006276261,0.005804416],"genre_scores_gemma":[0.996635,0.00005150768,0.002625771,0.00002141895,0.000005481141,0.00003203105,0.0001434466,0.00002227546,0.0004631676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003145012,"threshold_uncertainty_score":0.01038671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355626985507932,"score_gpt":0.2514032780137677,"score_spread":0.2378470081586884,"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."}}