{"id":"W3144161090","doi":"10.1177/10298649211001523","title":"Characterizing prototypical musical instrument timbres with timbre trait profiles","year":2021,"lang":"en","type":"article","venue":"Musicae Scientiae","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Timbre; Multidimensional scaling; Orchestration; Trait; Musical; Computer science; Psychology; Musical instrument; Cognitive psychology; Chord (peer-to-peer); Speech recognition; Acoustics; Machine learning; Visual arts; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002295959,0.0002592017,0.0002482724,0.0001471147,0.0005705184,0.0004543494,0.0004611156,0.00007880876,0.001366128],"category_scores_gemma":[0.000243215,0.0002027189,0.0001081577,0.001183604,0.0006702065,0.0006641883,0.0002513718,0.0003072116,0.0002635198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004360977,"about_ca_system_score_gemma":0.0003055427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005603489,"about_ca_topic_score_gemma":0.00001709667,"domain_scores_codex":[0.9965846,0.0001594096,0.0002924554,0.001301659,0.0009596365,0.0007022615],"domain_scores_gemma":[0.9989135,0.00005541606,0.0001042467,0.0005666083,0.00008617854,0.0002740058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005832066,0.0002959973,0.00007164324,0.00002232202,0.000001847425,0.0001663394,0.0005374582,0.000004807564,0.9867085,0.00144694,0.000752888,0.009932945],"study_design_scores_gemma":[0.001035766,0.00052025,0.05109616,0.0001360085,0.00002851292,0.000576717,0.0002841431,0.0008913346,0.8694934,0.000207886,0.0751233,0.0006064844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987209,0.000002294433,0.0002700916,0.002259323,0.0006742837,0.0006802581,0.00003574694,0.0001932932,0.008675763],"genre_scores_gemma":[0.9920882,0.000004334742,0.0008235174,0.005164845,0.0002735365,0.000159641,0.00001530689,0.00002767211,0.001442939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117215,"threshold_uncertainty_score":0.9995468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228649096208089,"score_gpt":0.2639543949156464,"score_spread":0.2216679039535655,"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."}}