{"id":"W1991371404","doi":"10.3109/17549507.2014.902995","title":"Identification of dysphagia using the Toronto Bedside Swallowing Screening Test (TOR-BSST<sup>©</sup>): Are 10 teaspoons of water necessary?","year":2014,"lang":"en","type":"article","venue":"International Journal of Speech-Language Pathology","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Statistics Canada; University of Toronto; University Health Network","funders":"","keywords":"Dysphagia; Medicine; Swallowing; Confidence interval; Rehabilitation; Physical therapy; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001039033,0.0003191071,0.0004262079,0.0006934772,0.0002349115,0.0004351508,0.0002268144,0.0002799864,0.001430214],"category_scores_gemma":[0.007457385,0.0001863028,0.0005739869,0.0005954936,0.0002362086,0.0003145225,0.0003749522,0.0002175013,0.0003450523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007122559,"about_ca_system_score_gemma":0.00071911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03127345,"about_ca_topic_score_gemma":0.07456993,"domain_scores_codex":[0.9990768,0.0002153084,0.0001740522,0.00008094921,0.0003716086,0.00008125],"domain_scores_gemma":[0.9978831,0.000709176,0.0008522896,0.00008001913,0.0003275448,0.000147796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000341809,0.00006109515,0.9840441,0.000125853,0.0001121769,0.0001386333,0.0001424356,0.0001459235,0.0007849007,0.00001672663,0.0004913125,0.01359505],"study_design_scores_gemma":[0.000009175857,0.0002910859,0.9983709,0.00002320408,0.00003841142,0.0003335105,0.0001018097,0.0003366809,0.0003328763,0.000007740653,0.0001474357,0.000007142417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968964,0.0004104709,0.0002403726,0.00006283545,0.00001070082,0.000055801,0.0006162825,0.00001992291,0.001687119],"genre_scores_gemma":[0.9981317,0.000293504,0.0006034772,0.00003433241,0.000007100267,0.00002073628,0.0006193073,0.000001716509,0.0002880611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03127345,"threshold_uncertainty_score":0.06218284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537711783299494,"score_gpt":0.3779405177792533,"score_spread":0.3525633999462583,"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."}}