{"id":"W2063016467","doi":"10.1161/strokeaha.114.007366","title":"Consistently Achieving Computed Tomography to Endovascular Recanalization &lt;90 Minutes","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Computed tomography; Radiology; Endovascular treatment; Tomography; Computed tomography angiography; Nuclear medicine; Aneurysm","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":[0.00124381,0.0003253049,0.0003819892,0.0007110874,0.001010014,0.001755829,0.0004444711,0.0005618176,0.005654678],"category_scores_gemma":[0.01463292,0.0001400318,0.0003527842,0.0006569492,0.000288922,0.0008177777,0.0008998056,0.001522941,0.002075528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246332,"about_ca_system_score_gemma":0.003027509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176582,"about_ca_topic_score_gemma":0.008210505,"domain_scores_codex":[0.9980173,0.0004184984,0.0002976297,0.0002875766,0.0004863305,0.0004925845],"domain_scores_gemma":[0.9930432,0.001503161,0.002836387,0.0004239712,0.001191916,0.001001315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001632115,0.0006737972,0.7751846,0.0003562531,0.0002130951,0.001745906,0.000959247,0.0007741498,0.002727343,0.001700346,0.02035767,0.1936754],"study_design_scores_gemma":[0.00007305821,0.001226138,0.9525518,0.0005254102,0.0002023535,0.004415386,0.001651913,0.0007842237,0.003290833,0.002355381,0.0328627,0.00006079562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849095,0.007272564,0.008686034,0.01128254,0.001075031,0.0003444211,0.002864585,0.0006887662,0.08287652],"genre_scores_gemma":[0.9904146,0.001527437,0.002233805,0.001761063,0.0003741219,0.0001538319,0.0007908907,0.00007441641,0.002669759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005654678,"threshold_uncertainty_score":0.01891673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149594635820846,"score_gpt":0.2316493599709934,"score_spread":0.2201534136127849,"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."}}