{"id":"W2767070188","doi":"10.1007/s00455-017-9859-2","title":"Evaluation of an Automated Swallow-Detection Algorithm Using Visual Biofeedback in Healthy Adults and Head and Neck Cancer Survivors","year":2017,"lang":"en","type":"article","venue":"Dysphagia","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Misericordia Community Hospital; University of Alberta","funders":"Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Cancer Foundation","keywords":"Medicine; Swallowing; Algorithm; Biofeedback; Head and neck cancer; Dysphagia; Percentile; mHealth; Otorhinolaryngology; Cancer; Physical medicine and rehabilitation; Internal medicine; Surgery; Computer science","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":[0.0009057977,0.0003863101,0.0005003561,0.000737195,0.000282765,0.0005160706,0.0004104371,0.0005650853,0.001303656],"category_scores_gemma":[0.003430088,0.0001245129,0.00025586,0.0002808186,0.00009713605,0.0003405611,0.0003097479,0.0001922587,0.0002871885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807825,"about_ca_system_score_gemma":0.0004006808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005044426,"about_ca_topic_score_gemma":0.006898397,"domain_scores_codex":[0.999637,0.00009618017,0.00004506808,0.00008837585,0.00009401562,0.0000393246],"domain_scores_gemma":[0.9987723,0.0005811935,0.00007094726,0.00003085183,0.0004798854,0.00006475772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005811991,0.002404619,0.5639032,0.0002722867,0.0002255354,0.0004135627,0.0005013371,0.003373841,0.03710292,0.0002136761,0.002137365,0.3836398],"study_design_scores_gemma":[0.0004146529,0.004613901,0.8092905,0.00005267187,0.0003696963,0.001038676,0.001057626,0.1617032,0.0194971,0.0002498735,0.00165414,0.00005795873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876703,0.0002159944,0.01057559,0.0001086012,0.00005420364,0.0001625383,0.0003435633,0.0001775568,0.000691765],"genre_scores_gemma":[0.9762452,0.00013245,0.02207671,0.00008823357,0.00003126868,0.0001362588,0.0004751904,0.00001496917,0.0007996967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005044426,"threshold_uncertainty_score":0.01003015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07081295841119112,"score_gpt":0.4846284260874319,"score_spread":0.4138154676762408,"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."}}