{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004690026,0.0001150782,0.0001881354,0.0001961924,0.00008848099,0.000005340888,0.0001367691,0.0001861413,0.000002388609],"category_scores_gemma":[0.0001170572,0.00006442965,0.0000682165,0.0005289041,0.00002438294,0.00002193857,0.0000940317,0.0002276955,0.000004096968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002070254,"about_ca_system_score_gemma":0.00004924167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008916575,"about_ca_topic_score_gemma":0.00005467138,"domain_scores_codex":[0.9991335,0.00005106817,0.000234956,0.0002355347,0.0001356515,0.000209333],"domain_scores_gemma":[0.9995319,0.00004088861,0.00004266936,0.0002879497,0.00007031974,0.00002626367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001735653,0.00008900779,0.00009453826,0.0001269435,0.00005409601,0.000005951026,0.001106265,0.4776997,0.4828697,0.02632438,0.00002477756,0.0114311],"study_design_scores_gemma":[0.0004895157,0.0001028968,0.00006552284,0.0001172746,0.00002040014,0.000008098254,0.000457944,0.9858661,0.001726897,0.01101253,0.0000610893,0.00007176888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947081,0.0002163133,0.002590557,0.001926938,0.0001632636,0.0003320719,0.000005565924,0.00003199434,0.00002523204],"genre_scores_gemma":[0.9982015,0.0008943542,0.00007931022,0.0007186805,0.0000265372,0.00002133077,0.00001206877,0.00001282464,0.0000333165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5081664,"threshold_uncertainty_score":0.2627365,"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."}}