{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000341898,0.0001743484,0.0003378939,0.00008280147,0.0005555573,0.00002933979,0.0003071158,0.0001180834,0.0004843773],"category_scores_gemma":[0.00005583017,0.0001436002,0.00007511625,0.00002023348,0.0001255107,0.0003126065,0.0004201162,0.0003153495,0.00003667596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581164,"about_ca_system_score_gemma":0.00004198512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128318,"about_ca_topic_score_gemma":0.00007700023,"domain_scores_codex":[0.9986069,0.00005972212,0.0003748983,0.0002569581,0.0002801042,0.0004214163],"domain_scores_gemma":[0.9987109,0.00009696549,0.0003758083,0.0006284923,0.00006483217,0.0001229584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006539743,0.00001966734,0.9892805,0.00008380599,0.000511023,0.000008396232,0.0004407509,2.049281e-7,0.0007969859,0.000342505,0.006413577,0.002037206],"study_design_scores_gemma":[0.001361587,0.00005636147,0.970449,0.00006964407,0.0002400103,2.142449e-7,0.0005664129,0.00004743099,0.0002936015,0.00002187653,0.02676499,0.0001289134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387728,0.0001006858,0.0008840256,0.0008437553,0.0006864786,0.0005506923,0.0001957731,0.00006041872,0.0579054],"genre_scores_gemma":[0.9333583,0.00009541502,0.002380079,0.0002338353,0.00008692111,0.0001042174,0.00001026875,0.00002225661,0.06370878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02035141,"threshold_uncertainty_score":0.5855848,"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."}}