{"id":"W2113906773","doi":"10.1212/wnl.0b013e3181d5275c","title":"Differences in stroke outcome based on sex","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":"Ontario Stroke Network; Foothills Medical Centre; Calgary Laboratory Services; University of Toronto; University of Calgary; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; National Institutes of Health; Fondation pour la Recherche Médicale; Ontario Ministry of Health and Long-Term Care; University Health Network; Canadian Stroke Network; National Institute of Neurological Disorders and Stroke; Sanofi","keywords":"Stroke (engine); Outcome (game theory); Medicine; Physical medicine and rehabilitation; Physics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009419639,0.0001014617,0.0002219834,0.0001559083,0.00001281044,0.000003664801,0.0001094598,0.0001102157,0.0003869172],"category_scores_gemma":[0.0001129473,0.00008188091,0.00003925165,0.00006209817,0.00006191308,0.00001055534,0.00004188178,0.0005775155,0.00008313313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005956286,"about_ca_system_score_gemma":0.00001530976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003152398,"about_ca_topic_score_gemma":0.00004796381,"domain_scores_codex":[0.9992086,0.00002863467,0.0001639207,0.0002447896,0.0001405433,0.0002135298],"domain_scores_gemma":[0.9994439,0.0001335854,0.00003565136,0.0003207836,0.000009378096,0.00005672071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002303933,0.0001064127,0.9884968,0.000009705393,0.000006193277,0.0001827243,0.00001497554,0.000002506436,0.008063409,0.00009747814,0.001612256,0.001177142],"study_design_scores_gemma":[0.001654838,0.001039844,0.9660505,0.000002240046,0.00001900062,0.00001714977,0.000003761368,0.003268233,0.001102275,0.000009068473,0.02676095,0.00007212858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450968,0.000001839545,0.00004330384,0.01034397,0.0004213504,0.0001722582,0.000002986851,0.00004512894,0.04387236],"genre_scores_gemma":[0.98244,9.320609e-7,0.0001946579,0.01594258,0.0001030079,0.00001892456,0.00000392596,0.00001130073,0.001284697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04258766,"threshold_uncertainty_score":0.4236473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062979477341884,"score_gpt":0.270461738369783,"score_spread":0.2498319435963642,"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."}}