{"id":"W2594556520","doi":"10.1161/strokeaha.116.015332","title":"Predictors and Outcomes of Dysphagia Screening After Acute Ischemic Stroke","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University Health Network; St. Michael's Hospital","funders":"","keywords":"Medicine; Dysphagia; Odds ratio; Stroke (engine); Confidence interval; Hazard ratio; Internal medicine; Pneumonia; Swallowing; Physical therapy; Pediatrics; 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":[0.0007853201,0.0002517702,0.0003310943,0.0007335257,0.0005857749,0.0008567603,0.0005353569,0.0004639527,0.001345644],"category_scores_gemma":[0.007791772,0.0002062253,0.0003961403,0.001497806,0.0004755915,0.0004765474,0.0005946542,0.0008438412,0.000179098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301305,"about_ca_system_score_gemma":0.00207633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07054105,"about_ca_topic_score_gemma":0.1069358,"domain_scores_codex":[0.999141,0.0001362897,0.0001468865,0.0001181207,0.0002516179,0.000206082],"domain_scores_gemma":[0.9945151,0.000605781,0.003088159,0.000184917,0.000881067,0.0007250715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002517883,0.000008687285,0.9992224,0.000004861938,0.00001397492,0.00002681349,0.00001570844,0.00002883243,0.000008996954,0.000005606135,0.0001371704,0.0005017502],"study_design_scores_gemma":[0.000002273149,0.00001669639,0.9996095,0.000008997771,0.00001436351,0.00007825511,0.00005293168,0.0001208349,0.00001080334,0.00001920291,0.00006369344,0.000002456857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996632,0.0007410246,0.00007499204,0.0004620536,0.00001633737,0.00001364819,0.001000963,0.000008123864,0.001050754],"genre_scores_gemma":[0.998943,0.0002066674,0.00003780139,0.00002583502,0.00001791139,0.000004246675,0.0007004165,0.000001357355,0.00006283422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07054105,"threshold_uncertainty_score":0.1402609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745246432703213,"score_gpt":0.3784649419010518,"score_spread":0.3510124775740197,"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."}}