{"id":"W4376128896","doi":"10.1007/s10237-023-01724-3","title":"Modeling the influence of the extrinsic musculature on phonation","year":2023,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; Agencia Nacional de Investigación y Desarrollo","keywords":"Phonation; Materials science; Acoustics; Structural engineering; Engineering; Audiology; Medicine; 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":[0.0002342267,0.0005351647,0.0003576986,0.0002577134,0.000228052,0.0006243602,0.000585646,0.001356658,0.002084483],"category_scores_gemma":[0.001140561,0.0003614021,0.0005148678,0.0001955156,0.0003962615,0.0005059106,0.000506692,0.0003903956,0.0003632843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250034,"about_ca_system_score_gemma":0.0006319745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006074257,"about_ca_topic_score_gemma":0.004719975,"domain_scores_codex":[0.9998915,0.00002729297,0.000006506904,0.00002503216,0.00003187514,0.00001778079],"domain_scores_gemma":[0.9997988,0.000116427,0.00002412577,0.00001626259,0.00002717357,0.00001719328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002658073,0.00002931218,0.0008677606,0.00004359366,0.00001667563,0.0001183823,0.00003413333,0.979294,0.01045982,0.002394963,0.0001642691,0.006550478],"study_design_scores_gemma":[0.000002994483,0.00001549464,0.0004851812,0.000004097742,0.000006629671,0.00003304007,0.000007271582,0.9982169,0.000579431,0.000386459,0.0002585794,0.000003759718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4021697,0.0012769,0.5675581,0.0007953077,0.0001956123,0.00009151936,0.000365934,0.000360236,0.02718674],"genre_scores_gemma":[0.9844466,0.0004298409,0.009289692,0.00005918212,0.00002484976,0.00003946946,0.00005826325,0.00004548716,0.005606634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006074257,"threshold_uncertainty_score":0.01207781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831652604243851,"score_gpt":0.2804435479118933,"score_spread":0.2421270218694548,"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."}}