{"id":"W3091503251","doi":"10.1007/s00226-020-01224-y","title":"Mechanical, anatomical and modeling techniques for alto saxophone reed evaluation and classification","year":2020,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering; Speech recognition; Acoustics; Computer science; Engineering drawing; 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":[0.0009073603,0.000101913,0.0001702081,0.0002628155,0.0004827765,0.00008149196,0.0004195854,0.0001879459,4.991489e-7],"category_scores_gemma":[0.0007070533,0.00009047452,0.000009699527,0.0009552264,0.0007785466,0.0003122436,0.0004702867,0.0001510764,7.162857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500036,"about_ca_system_score_gemma":0.00009433938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002895417,"about_ca_topic_score_gemma":0.000006346684,"domain_scores_codex":[0.9987437,0.00001562084,0.0001714668,0.0006291579,0.0002094267,0.0002306606],"domain_scores_gemma":[0.9993193,0.00004202902,0.00005672868,0.0002456387,0.0002695403,0.00006672348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009204446,0.00001921653,0.0001074183,0.0000171018,0.000008925959,8.760027e-7,0.0005064553,7.09098e-7,0.1026844,0.5965257,0.0001900365,0.2999299],"study_design_scores_gemma":[0.0003134661,0.0002764726,0.00007949536,0.00001007779,0.00001337851,0.00001986349,0.0004374717,0.8211204,0.01268774,0.1638651,0.001033905,0.0001425565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5925173,0.0007689021,0.360278,0.04512747,0.000057019,0.00055061,0.000001519727,0.0005661585,0.0001330039],"genre_scores_gemma":[0.95297,0.000163722,0.04628727,0.0004579296,0.00001395553,0.0001013725,4.780161e-7,0.000003246242,0.000002056456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8211197,"threshold_uncertainty_score":0.3713175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06785028139692516,"score_gpt":0.3140166641457279,"score_spread":0.2461663827488027,"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."}}