{"id":"W2479247956","doi":"","title":"3D AUDITORY-ARTICULATORY MODELING OF THE LARYNGEAL CONSTRICTOR MECHANISM","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Phonation; Vocal tract; Articulator; Epiglottis; Larynx; Context (archaeology); Glottis; Acoustics; Mathematics; Anatomy; Audiology; Speech recognition; Computer science; Medicine; Geology; Physics; Orthodontics","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":[0.0002703565,0.0004700692,0.000438912,0.0004122055,0.000306423,0.001028945,0.001080139,0.001308148,0.002233431],"category_scores_gemma":[0.0004580255,0.0003590503,0.0007520112,0.0002836961,0.0005905858,0.0006076307,0.0006670449,0.0004214754,0.0008260057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826378,"about_ca_system_score_gemma":0.0007694836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003823448,"about_ca_topic_score_gemma":0.002288335,"domain_scores_codex":[0.9998835,0.00002812425,0.000009508592,0.0000198098,0.00004704737,0.00001184362],"domain_scores_gemma":[0.9999,0.00002783037,0.00001695019,0.00001630471,0.000027815,0.00001114207],"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":[0.00003015912,0.00001355925,0.0003919789,0.00005594948,0.00001690913,0.0002210154,0.0001120456,0.9437071,0.01179621,0.03448793,0.0003160861,0.008850963],"study_design_scores_gemma":[0.000004239116,0.000008178221,0.0001645505,0.000004641279,0.000005433243,0.00006111705,0.00001065251,0.9954927,0.0005415618,0.00232848,0.001367845,0.00001058725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03335657,0.0006694624,0.9467691,0.0003039636,0.0001516312,0.00004793619,0.0002467912,0.0004744434,0.01798012],"genre_scores_gemma":[0.8621539,0.001569904,0.1154145,0.0001416728,0.0001013815,0.0002270416,0.0002057986,0.0001445165,0.02004131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003823448,"threshold_uncertainty_score":0.007602394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00601821568253681,"score_gpt":0.2070435002817363,"score_spread":0.2010252845991995,"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."}}