{"id":"W2159232358","doi":"10.1109/tbme.2008.2010504","title":"Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Swallowing; Dysphagia; Anthropometry; Segmentation; Medicine; Accelerometer; Chin; Physical medicine and rehabilitation; Audiology; Computer science; Artificial intelligence; Surgery; Internal medicine; Anatomy","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":[0.0005642256,0.0001904387,0.0006141594,0.004044724,0.00009000441,0.000004131523,0.000093979,0.0001446045,0.00007816743],"category_scores_gemma":[0.00003495549,0.0001705958,0.0001369859,0.005103858,0.00003839306,0.0002149067,0.000002111813,0.0003550133,0.000001266682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361466,"about_ca_system_score_gemma":0.00008282489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114195,"about_ca_topic_score_gemma":0.00002783019,"domain_scores_codex":[0.9978343,0.0001296687,0.0008090356,0.0002463587,0.0006569674,0.0003236907],"domain_scores_gemma":[0.9984421,0.0009330232,0.0002752662,0.0001973798,0.00005344272,0.00009885758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00145067,0.003311001,0.00295148,0.003433738,0.003229685,0.00003120082,0.004657561,0.2857122,0.6410829,0.0001931102,0.00002846517,0.05391799],"study_design_scores_gemma":[0.01051179,0.01370322,0.1828832,0.004337267,0.002552747,0.000001019255,0.005495049,0.1175315,0.6619762,0.00002204526,0.00004878502,0.0009370966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954662,0.000024836,0.3035765,0.0001235193,0.0002509293,0.000445681,0.00001044241,0.00003869927,0.00006319708],"genre_scores_gemma":[0.998251,0.0001172432,0.001439377,0.00006225418,0.00002097346,0.00005369312,0.00001801165,0.00001678654,0.00002067113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027848,"threshold_uncertainty_score":0.6956697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819074589556833,"score_gpt":0.3399527472703429,"score_spread":0.3217620013747745,"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."}}