{"id":"W7132896743","doi":"","title":"Developing a Custom Handheld Diagnostic Device for Noninvasive Detection of Oropharyngeal Dysphagia using High Resolution Cervical Auscultation Recordings","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; University of Pittsburgh","keywords":"Dysphagia; Swallowing; Auscultation; Mobile device; Oropharyngeal dysphagia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005539131,0.0005396961,0.000517729,0.0005256089,0.0001738832,0.0004675892,0.001225346,0.0005369781,0.01126245],"category_scores_gemma":[0.001160676,0.0003415751,0.0003811164,0.0002612558,0.0001815197,0.0004304367,0.0004274638,0.0003635984,0.003606227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133519,"about_ca_system_score_gemma":0.0004285305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006864268,"about_ca_topic_score_gemma":0.0009980734,"domain_scores_codex":[0.999638,0.00003582536,0.00003294639,0.0001406635,0.0001226071,0.00003000177],"domain_scores_gemma":[0.9993384,0.0002200739,0.00005624077,0.00008617882,0.0002454142,0.00005359223],"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":[0.0008515661,0.0005088208,0.007800025,0.001019289,0.0001115049,0.001109741,0.0003280714,0.001455798,0.6069834,0.0007936773,0.0101928,0.3688452],"study_design_scores_gemma":[0.0008180959,0.006231407,0.08490521,0.0004211181,0.0006482166,0.007931788,0.0003973412,0.05725872,0.7050442,0.0007202005,0.1353323,0.0002915264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2001629,0.0009008589,0.7606709,0.0005338914,0.0006278928,0.004388692,0.002379744,0.01998606,0.01034901],"genre_scores_gemma":[0.2922375,0.0006655704,0.6728643,0.0008444486,0.0001473162,0.001865165,0.001626582,0.000559859,0.02918927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01126245,"threshold_uncertainty_score":0.03767663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09652830745484085,"score_gpt":0.4460550349857994,"score_spread":0.3495267275309585,"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."}}