{"id":"W2044392073","doi":"10.1121/1.2839900","title":"Measurement of vocal-tract influence during saxophone performance","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vocal tract; Acoustics; Speech recognition; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000639257,0.00009694177,0.0002829386,0.00001672859,0.0003358616,0.000004024089,0.001318194,0.00005113229,0.000003910412],"category_scores_gemma":[0.0002076567,0.00004964508,0.0002296076,0.0003395856,0.001139707,0.0001351292,0.0003612576,0.0004074191,0.000001605002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004951297,"about_ca_system_score_gemma":0.00009899739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001669195,"about_ca_topic_score_gemma":1.512395e-7,"domain_scores_codex":[0.9985526,0.00007090324,0.0004148737,0.0000754588,0.0006991066,0.0001870999],"domain_scores_gemma":[0.9985769,0.0001477843,0.0005154944,0.0004006658,0.0003238626,0.0000352308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00068841,0.002666464,0.05381418,0.001043641,0.002581397,0.00003078068,0.05856247,0.1130761,0.663673,0.0002456373,0.03849497,0.06512298],"study_design_scores_gemma":[0.001450816,0.001157361,0.8649852,0.0005856684,0.0002579599,0.001058595,0.001884222,0.07206442,0.05354217,0.001495471,0.00112904,0.0003890322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299252,0.0005386901,0.1668513,0.0024264,0.0001314071,0.00005370602,4.815562e-7,0.00001223345,0.00006057156],"genre_scores_gemma":[0.978877,0.001198971,0.01954739,0.0003196771,0.00003568626,5.635419e-7,5.016243e-9,0.000003231363,0.00001749337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8111711,"threshold_uncertainty_score":0.41993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621377075329112,"score_gpt":0.2210806725046579,"score_spread":0.2048669017513668,"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."}}