{"id":"W2131078789","doi":"10.1002/ana.20782","title":"Can we identify a CT‐based tissue window for thrombolysis without CTP?","year":2006,"lang":"en","type":"letter","venue":"Annals of Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Thrombolysis; Window (computing); Medicine; Computer science; Internal medicine; World Wide Web; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001733398,0.001280847,0.002153291,0.001929551,0.002173911,0.003598607,0.002004817,0.0349083,0.00986562],"category_scores_gemma":[0.03543917,0.0009258298,0.001530189,0.001083258,0.002955652,0.008763943,0.001068741,0.01740131,0.00716521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893434,"about_ca_system_score_gemma":0.002500739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873913,"about_ca_topic_score_gemma":0.002253795,"domain_scores_codex":[0.9984403,0.0003219619,0.0004003784,0.0002280062,0.0002633959,0.0003459496],"domain_scores_gemma":[0.9939303,0.003562449,0.0005844522,0.0002771807,0.0008086921,0.0008369248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001135908,0.000696521,0.05547393,0.0007806745,0.000215796,0.5944099,0.0005443846,0.001028318,0.002110024,0.008894122,0.2540776,0.08063275],"study_design_scores_gemma":[0.001291782,0.0006912783,0.01561976,0.002044169,0.0005066404,0.7626817,0.002757399,0.006116422,0.002263049,0.06288075,0.1428414,0.000305799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03037681,0.01026013,0.002649853,0.9089308,0.01621097,0.0001226614,0.0001719929,0.0001541359,0.03112251],"genre_scores_gemma":[0.2802896,0.01916027,0.006995134,0.4594566,0.225705,0.0002402474,0.0003606572,0.0001449438,0.007647658],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0349083,"threshold_uncertainty_score":0.03300375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533686693797603,"score_gpt":0.3469246910766086,"score_spread":0.2915878241386326,"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."}}