{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268931,0.00009009556,0.0001391617,0.00004938413,0.00003020542,0.000003281566,0.0001345977,0.00005658792,0.00005343731],"category_scores_gemma":[0.00002060032,0.0000618799,0.00008482821,0.0002270851,0.00003108404,0.00006325639,0.00003856925,0.0001163914,0.000006880948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752652,"about_ca_system_score_gemma":0.000006009494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009394408,"about_ca_topic_score_gemma":0.000008713087,"domain_scores_codex":[0.9993324,0.000007977757,0.0002332201,0.00008878065,0.0001662088,0.0001714573],"domain_scores_gemma":[0.9996366,0.00003757037,0.000026183,0.0002149475,0.00003947034,0.00004522058],"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":[0.00001231505,0.0001011513,0.0009509362,0.00008883882,0.0002423387,0.000009869215,0.0001932806,0.5582154,0.3823433,0.03938565,0.001091007,0.01736592],"study_design_scores_gemma":[0.00007436403,0.000009987154,0.00009685798,0.00001069246,0.00002704298,0.000001730113,0.00004254532,0.8305211,0.1649439,0.003514819,0.0006319688,0.0001250064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09223084,0.00005704874,0.9016241,0.00001234486,0.0001472804,0.00007142859,0.000001098414,0.0003675561,0.005488303],"genre_scores_gemma":[0.9726642,0.000009978841,0.02714138,0.00004207698,0.00006153969,0.000002992437,3.689461e-7,0.00001517391,0.00006226718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8804334,"threshold_uncertainty_score":0.2523389,"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."}}