{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282201,0.0001772618,0.0003041261,0.0002000503,0.000712202,0.00003653246,0.000117072,0.0001783747,0.00008988441],"category_scores_gemma":[0.0001038822,0.0001741694,0.00001847671,0.0001390374,0.00008616075,0.0005600327,0.000150771,0.0002460626,0.000005646087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718936,"about_ca_system_score_gemma":0.0002655675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0360882,"about_ca_topic_score_gemma":0.04360142,"domain_scores_codex":[0.9976494,0.0005816907,0.0005002123,0.0003885512,0.0004858031,0.0003943247],"domain_scores_gemma":[0.9986858,0.00005690338,0.0004961119,0.00030732,0.0003150629,0.000138737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009679031,0.0004076987,0.2959113,0.0009168751,0.0001961031,0.000009199542,0.004890474,0.0001669487,0.001773593,0.00007770251,0.00007123274,0.6946109],"study_design_scores_gemma":[0.003313604,0.0002333414,0.5454459,0.0002176108,0.00008116919,4.779857e-7,0.0007506433,0.4496349,0.00006545907,0.00006662039,0.00007704573,0.0001132237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963751,0.0003552719,0.000152288,0.0001950998,0.001052327,0.001399225,0.00001802881,0.00009647985,0.0003561596],"genre_scores_gemma":[0.9981303,0.0001974449,0.001249845,0.0001165506,0.00009272305,0.0001169901,0.00001787821,0.00002579322,0.00005249472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6944977,"threshold_uncertainty_score":0.9738504,"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."}}