{"id":"W2014049752","doi":"10.1121/1.4900572","title":"Estimation of inferior-superior vocal fold kinematics from high-speed stereo endoscopic data <i>in vivo</i>","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kinematics; Vocal folds; Computer science; Fold (higher-order function); Artificial intelligence; Motion (physics); Computer vision; Acoustics; Medicine; Anatomy; Physics; Larynx","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":[0.0004399996,0.000270556,0.0002131307,0.0006834757,0.0001714272,0.0004422337,0.0002652728,0.0004225522,0.001424841],"category_scores_gemma":[0.001413915,0.0001886735,0.0002351986,0.0004000854,0.000235186,0.0003662617,0.000297921,0.0002172804,0.000324199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471594,"about_ca_system_score_gemma":0.0003764067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567748,"about_ca_topic_score_gemma":0.002931029,"domain_scores_codex":[0.9998581,0.00002913195,0.00001102205,0.00002095848,0.00006757181,0.00001325832],"domain_scores_gemma":[0.9996029,0.0001270295,0.00008342488,0.00006777701,0.00009845502,0.00002049271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000339635,0.00005899939,0.01287156,0.0002697036,0.00003113604,0.0003244351,0.0001975981,0.01255354,0.8443912,0.0008305666,0.0004982806,0.1276334],"study_design_scores_gemma":[0.00002709512,0.0006173393,0.1441333,0.00008695064,0.0000743641,0.005185571,0.0006725496,0.2873803,0.5568967,0.001076009,0.003738413,0.0001114903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4910831,0.0004220006,0.5050027,0.0001542593,0.00003898166,0.00009673869,0.0005195139,0.0005014099,0.002181228],"genre_scores_gemma":[0.6879031,0.0006290314,0.3098971,0.00003700494,0.0000221278,0.00004298838,0.0004585773,0.00007551823,0.0009345799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001567748,"threshold_uncertainty_score":0.004766583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751155596181697,"score_gpt":0.2791164631517482,"score_spread":0.2616049071899312,"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."}}