{"id":"W2134518374","doi":"10.1161/strokeaha.113.001068","title":"Alberta Stroke Program Early CT Scale Evaluation of Multimodal Computed Tomography in Predicting Clinical Outcomes of Stroke Patients Treated With Aspiration Thrombectomy","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Perfusion scanning; Stroke (engine); Cerebral blood flow; Radiology; Logistic regression; Computed tomographic; Perfusion; Modified Rankin Scale; Computed tomography; Cohort; Internal medicine; Ischemia; Ischemic stroke","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":[0.0008292707,0.0003917858,0.0002777446,0.0007011406,0.0002127362,0.0004154955,0.00030099,0.0003376679,0.0009745911],"category_scores_gemma":[0.004340576,0.0001321598,0.0002873523,0.0004752344,0.000244136,0.0002555545,0.0003565518,0.0003490708,0.0001431607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140869,"about_ca_system_score_gemma":0.0005126687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442471,"about_ca_topic_score_gemma":0.005351049,"domain_scores_codex":[0.9996186,0.0001397763,0.00003902023,0.00003755822,0.0001121825,0.00005291792],"domain_scores_gemma":[0.9984002,0.0004761574,0.0005359448,0.00004981278,0.0002203213,0.0003176429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002429752,0.00002031572,0.9981798,0.000004749621,0.00003265994,0.00005646517,0.0000103518,0.000102308,0.0001049041,0.000005278768,0.00005997591,0.001180213],"study_design_scores_gemma":[0.00001693574,0.0001519933,0.9981798,0.000005837377,0.00004484703,0.0002596754,0.000031642,0.00114682,0.00006746939,0.00003185868,0.00005993177,0.000003204579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990184,0.0002213749,0.0001759845,0.00004139538,0.000007314772,0.00001571451,0.00009846636,0.000005492589,0.0004157466],"genre_scores_gemma":[0.9995719,0.00005433597,0.000144521,0.00000799621,0.00001090911,0.000009241226,0.0001493818,9.702641e-7,0.00005075046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9965575,"threshold_uncertainty_score":0.006844878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412030300783515,"score_gpt":0.3152666541377836,"score_spread":0.2911463511299485,"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."}}