{"id":"W2914016234","doi":"10.1161/str.50.suppl_1.wp30","title":"Abstract WP30: Does Pretreatment With Intravenous Thrombolysis Prevent Infarct in a New Previously Unaffected Territory (INT) in Emergent Large Vessel Occlusion (ELVO) Patients Treated With Mechanical Thrombectomy (MT)?","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Medicine; Thrombolysis; Internal medicine; Logistic regression; Modified Rankin Scale; Stroke (engine); INT; Cardiology; Incidence (geometry); Occlusion; Surgery; Ischemic stroke; Ischemia; 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":[0.000470973,0.0001965382,0.0004421236,0.0002571793,0.0001652669,0.0003494897,0.0002126636,0.0003130337,0.001420169],"category_scores_gemma":[0.002214197,0.00007695595,0.0002909759,0.0003525015,0.0002338824,0.0002267156,0.0001601362,0.0003162297,0.0001779795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794363,"about_ca_system_score_gemma":0.0003154601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000679598,"about_ca_topic_score_gemma":0.001159463,"domain_scores_codex":[0.9996953,0.0001021472,0.00004547387,0.0000513399,0.00005462534,0.00005109611],"domain_scores_gemma":[0.9985228,0.0003563544,0.0007941432,0.00003791519,0.00006915376,0.0002195425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003009026,0.000181475,0.985788,0.0000530545,0.0001135288,0.0002736339,0.00003091093,0.00006990302,0.000759667,0.00001351991,0.0001275979,0.009579693],"study_design_scores_gemma":[0.0001032508,0.002393702,0.9960123,0.00001748178,0.0001069067,0.0006438761,0.00004932404,0.0002393485,0.000237671,0.00002494354,0.0001670799,0.000004159683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985011,0.0008129356,0.00006257398,0.00008564953,0.000007534984,0.000009179521,0.00007330948,0.000003020273,0.0004447526],"genre_scores_gemma":[0.9995536,0.0001740458,0.00005555866,0.00002463969,0.00003149487,0.00000464572,0.00009986025,7.888852e-7,0.00005544597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420169,"threshold_uncertainty_score":0.004750967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004633766178442294,"score_gpt":0.2265405735539192,"score_spread":0.2219068073754769,"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."}}