{"id":"W2471537412","doi":"10.1017/s031716710005277x","title":"Improved Outcomes in Stroke Thrombolysis with Pre-specified Imaging Criteria","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"London Health Sciences Centre","keywords":"Medicine; Thrombolysis; Stroke (engine); Placebo; Neuroimaging; Tissue plasminogen activator; Neuroradiology; Middle cerebral artery; Pediatrics; Surgery; Neurology; Anesthesia; Internal medicine; Ischemia; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001639793,0.0002806002,0.0006459493,0.0006105146,0.0002466824,0.000563283,0.0002517361,0.0003905093,0.002793711],"category_scores_gemma":[0.00488243,0.00006567523,0.0004436006,0.0008145265,0.0002786806,0.0004138969,0.000492938,0.0004150563,0.000357692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608407,"about_ca_system_score_gemma":0.000659439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179848,"about_ca_topic_score_gemma":0.003172303,"domain_scores_codex":[0.999199,0.000260441,0.0001196041,0.00008685231,0.0002013429,0.0001328821],"domain_scores_gemma":[0.9972472,0.0005834833,0.001285462,0.0001239411,0.0002804586,0.0004794443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009730082,0.000511659,0.9313963,0.0003223591,0.0005919936,0.0003335077,0.0001298647,0.0005062334,0.0007726138,0.0003005589,0.004228936,0.05117583],"study_design_scores_gemma":[0.0008532147,0.001629562,0.9947851,0.0000621544,0.0002024824,0.0003940316,0.00004883541,0.0002798438,0.0001499152,0.000294299,0.001289394,0.00001121842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991012,0.002585145,0.0002718672,0.0004452703,0.00007610265,0.00006882722,0.001003452,0.00001719527,0.004520237],"genre_scores_gemma":[0.9965335,0.0006629325,0.0003177256,0.0001518509,0.0001069302,0.00005487322,0.001860981,0.00000419695,0.0003070054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793711,"threshold_uncertainty_score":0.009345829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797282997923139,"score_gpt":0.2849736808881507,"score_spread":0.2570008509089193,"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."}}