{"id":"W2045179479","doi":"10.1161/strokeaha.111.000208","title":"Perfusion MR Predicts Outcome in High-Risk Transient Ischemic Attack/Minor Stroke","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Institute of Circulatory and Respiratory Health; Alberta Innovates; Heart and Stroke Foundation of Canada; Canadian Institutes of Health Research; AstraZeneca Canada; AstraZeneca; Pfizer","keywords":"Medicine; Cohort; Cardiology; Internal medicine; Stroke (engine); Confidence interval; Population; Infarction; Magnetic resonance imaging; Prospective cohort study; Minor stroke; Perfusion; Myocardial infarction; Radiology","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":[0.001042296,0.0004933527,0.0003401502,0.0004002444,0.0002545284,0.0004798021,0.0002901478,0.0006593067,0.00114355],"category_scores_gemma":[0.005269698,0.0002041564,0.000307773,0.0002559013,0.0002798004,0.0003175336,0.0003514542,0.0006526769,0.0002551173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413097,"about_ca_system_score_gemma":0.0002071297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106606,"about_ca_topic_score_gemma":0.001183896,"domain_scores_codex":[0.9997206,0.0001072556,0.00003010779,0.00005951129,0.00004094593,0.00004142736],"domain_scores_gemma":[0.9975434,0.0007192373,0.0009590503,0.0001774332,0.000240492,0.000360338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000402627,0.00004418826,0.9972854,0.000007379045,0.00005090686,0.00007761799,0.00001534539,0.00009644988,0.0003094891,0.000008858688,0.00007027465,0.001631521],"study_design_scores_gemma":[0.0000128276,0.0001586618,0.9983663,0.000005378074,0.00005223429,0.0004326742,0.00002201346,0.0007227524,0.0001238666,0.00004881041,0.00005133584,0.000003228108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993382,0.0002051142,0.0001298375,0.00004265676,0.000005782332,0.000006522477,0.00006824857,0.000005031079,0.0001984832],"genre_scores_gemma":[0.9996892,0.00004951482,0.00007856968,0.00001092706,0.00001100075,0.000002228995,0.0001223759,0.000001340105,0.00003485876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00114355,"threshold_uncertainty_score":0.005512238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576071671562065,"score_gpt":0.2579140725609675,"score_spread":0.2421533558453468,"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."}}