{"id":"W2104788341","doi":"10.1111/ene.12308","title":"Intravenous thrombolysis for patients with reverse magnetic resonance angiography and diffusion‐weighted imaging mismatch: <scp>SAMURAI</scp> and <scp>NCVC</scp> rt‐<scp>PA</scp> Registries","year":2013,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Cerebral and Cardiovascular Center","keywords":"Medicine; Modified Rankin Scale; Odds ratio; Confidence interval; Magnetic resonance imaging; Thrombolysis; Stroke (engine); Intracerebral hemorrhage; Diffusion MRI; Magnetic resonance angiography; Middle cerebral artery; Internal medicine; Radiology; Ischemia; Ischemic stroke; Subarachnoid hemorrhage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039761,0.0003032907,0.0005719292,0.0005905728,0.0003170412,0.0005276893,0.0002878938,0.0004666109,0.001161691],"category_scores_gemma":[0.002943392,0.0002092954,0.0004491732,0.0007940627,0.0002600307,0.0002899164,0.0003358356,0.0005927735,0.0002045802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243775,"about_ca_system_score_gemma":0.0004317233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208496,"about_ca_topic_score_gemma":0.001504808,"domain_scores_codex":[0.9994776,0.0001448899,0.00007694287,0.00007367519,0.0001232557,0.0001036912],"domain_scores_gemma":[0.9982742,0.000306711,0.001079225,0.00006231129,0.00006190041,0.0002156774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000468105,0.00003076613,0.9966594,0.00001266106,0.00004908337,0.0005785931,0.00002000769,0.00002173635,0.0001605468,0.00002355861,0.0001065832,0.00186909],"study_design_scores_gemma":[0.00009386639,0.0003394,0.9930573,0.00002185786,0.0001203273,0.004963157,0.000119925,0.0007075046,0.0001913401,0.00009845822,0.0002795625,0.000007245194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984406,0.0007063126,0.0001461071,0.0001256689,0.00001500169,0.00002002281,0.00007849833,0.000005126341,0.0004628091],"genre_scores_gemma":[0.9995325,0.0001612044,0.00007380365,0.00003214724,0.00003638896,0.000005923176,0.0001150062,0.000001049421,0.00004208282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208496,"threshold_uncertainty_score":0.003886282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005840015308840581,"score_gpt":0.1895355493523297,"score_spread":0.1836955340434892,"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."}}