{"id":"W2975048185","doi":"10.1016/j.jstrokecerebrovasdis.2019.104401","title":"Timing of Direct Enteral Tube Placement and Outcomes after Acute Stroke","year":2019,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Institute for Clinical Evaluative Sciences; St. Michael's Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Confidence interval; Stroke (engine); Hazard ratio; Gastrostomy; Odds ratio; Dysphagia; Intracerebral hemorrhage; Logistic regression; Enteral administration; Pediatrics; Proportional hazards model; Percutaneous endoscopic gastrostomy; Emergency medicine; Internal medicine; Parenteral nutrition; Surgery; Subarachnoid hemorrhage","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":[0.0008611423,0.0002706414,0.0004735669,0.0005528635,0.0005366504,0.00135699,0.0004998876,0.0008190188,0.003296387],"category_scores_gemma":[0.00945781,0.0002714622,0.001101134,0.0008455181,0.0003041272,0.0009875933,0.0007109119,0.001748492,0.0003667733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005927552,"about_ca_system_score_gemma":0.001020019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667644,"about_ca_topic_score_gemma":0.004663392,"domain_scores_codex":[0.9990973,0.0001664213,0.0001686762,0.0001230151,0.0001508459,0.000293672],"domain_scores_gemma":[0.9923372,0.002053856,0.003581176,0.0003020847,0.0003965681,0.001329155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003409121,0.0005023914,0.9870794,0.00009088475,0.0004170214,0.0004045704,0.000168707,0.0001472257,0.0002169898,0.0001134628,0.0003782115,0.007072066],"study_design_scores_gemma":[0.00008182691,0.001438946,0.9954078,0.000131664,0.000329888,0.0007091055,0.0006248846,0.0002978607,0.0001949633,0.0003387771,0.0004121494,0.0000322081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951596,0.001965429,0.000105423,0.0002384055,0.0001152907,0.00001057044,0.0002279551,0.000006828176,0.002170443],"genre_scores_gemma":[0.9985088,0.0006310269,0.00007446629,0.00007016172,0.00008391343,0.00000632503,0.0002034738,0.000004272519,0.0004175095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003667644,"threshold_uncertainty_score":0.01102746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008270626901431478,"score_gpt":0.2635666598405985,"score_spread":0.255296032939167,"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."}}