{"id":"W2136263272","doi":"10.1212/wnl.0b013e3181ebdd8d","title":"Do all ischemic stroke subtypes benefit from organized inpatient stroke care?","year":2010,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Ontario Stroke Network; Research Canada; Foothills Medical Centre; University of Toronto; University Health Network; Toronto General Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; Ontario Ministry of Health and Long-Term Care; Heart and Stroke Foundation of Canada; Canadian Stroke Network; Teva Pharmaceutical Industries; Institute for Clinical Evaluative Sciences; Sanofi; University of Toronto; University Health Network; Biogen; Bristol-Myers Squibb","keywords":"Stroke (engine); Medicine; Odds ratio; Lacunar stroke; Cohort; Logistic regression; Internal medicine; Odds; Ischemic stroke; Cohort study; Physical therapy; Disease; Emergency medicine; Ischemia","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007217497,0.0002980736,0.0004702649,0.0001519163,0.00005089555,0.00002004238,0.0003265112,0.000338734,0.001822627],"category_scores_gemma":[0.000141159,0.000275871,0.0001240401,0.000102693,0.0001247845,0.0000536828,0.0003296403,0.0009856379,0.0004110149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003166524,"about_ca_system_score_gemma":0.00005340268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002805743,"about_ca_topic_score_gemma":0.0001497411,"domain_scores_codex":[0.9980729,0.00002919057,0.0003622945,0.0006798349,0.0003520045,0.0005038356],"domain_scores_gemma":[0.9984568,0.0001351493,0.0001483314,0.0009067303,0.0001383058,0.000214639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001095822,0.0001470672,0.1598901,0.00002776165,0.0002592041,0.0002022275,0.0006205891,0.000002830941,0.7980913,0.00008671902,0.0354143,0.004162128],"study_design_scores_gemma":[0.00480934,0.001237289,0.08226638,0.000007759576,0.0004740294,0.00009049676,0.0001032083,0.00005835676,0.1342832,0.00002216068,0.7763227,0.0003250602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667504,0.0001999858,0.00003214874,0.003640027,0.001279225,0.0004530394,0.000122792,0.0001827875,0.02733957],"genre_scores_gemma":[0.9899868,0.00004742954,0.001217144,0.006740819,0.0005496673,0.00003583631,0.0002026066,0.00007016829,0.001149573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7409084,"threshold_uncertainty_score":0.9999694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008275409623877534,"score_gpt":0.233277832959524,"score_spread":0.2250024233356464,"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."}}