{"id":"W4312728133","doi":"10.5771/0943-7444-2022-4-257","title":"Classifying Musical Genres. Building Musical Form and Genre into BCC: Repurposing LCGFT Terms for Music into the Basic Concepts Classification","year":2022,"lang":"en","type":"article","venue":"KNOWLEDGE ORGANIZATION","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Musical; Repurposing; Computer science; Type (biology); Natural language processing; Artificial intelligence; Visual arts; Art; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000769313,0.0002508609,0.0002474954,0.0001686167,0.002695788,0.0005339252,0.0008146188,0.0001031649,0.00005528353],"category_scores_gemma":[0.0004135796,0.000215977,0.00005997794,0.001460677,0.0001533275,0.000754645,0.0009465936,0.0003159779,0.00000971159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371851,"about_ca_system_score_gemma":0.0002022103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001214408,"about_ca_topic_score_gemma":0.00003205667,"domain_scores_codex":[0.9978508,0.000172306,0.0004480091,0.0008146045,0.0003401484,0.0003741478],"domain_scores_gemma":[0.9984796,0.0002701339,0.0002807873,0.0005469071,0.0003052268,0.0001173332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001364223,0.0001475958,0.001297304,0.0002167472,0.00002619464,0.000004106953,0.06620616,0.00007807204,0.08642269,0.06829485,0.004153048,0.7731396],"study_design_scores_gemma":[0.003270255,0.0004721099,0.02410947,0.0002686035,0.0002215533,0.0002416405,0.007519888,0.7602764,0.02419852,0.02804315,0.1493872,0.001991246],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3121647,0.0005065692,0.6829779,0.002214665,0.0009145506,0.000572941,0.00000168841,0.0002550906,0.0003919603],"genre_scores_gemma":[0.9771566,0.00001417586,0.0209234,0.0009559473,0.0005630435,0.000110306,0.00003849308,0.00005445471,0.0001835308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7711483,"threshold_uncertainty_score":0.9986026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893924586933998,"score_gpt":0.2880046563341535,"score_spread":0.2590654104648135,"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."}}