{"id":"W2444360242","doi":"10.25011/cim.v39i3.26798","title":"Predictors of poor outcomes in First-Event Ischemic Stroke as assessed by Magnetic Resonance Imaging","year":2016,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Logistic regression; Modified Rankin Scale; Stepwise regression; Magnetic resonance imaging; Internal medicine; Ischemic stroke; Physical therapy; Cardiology; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006439703,0.0002696452,0.0002499324,0.0004487068,0.0003166826,0.0004352259,0.0002095218,0.0003636274,0.001886835],"category_scores_gemma":[0.004387491,0.0001437637,0.0001583082,0.0003983093,0.0002927414,0.0003192304,0.0003372869,0.0005288712,0.0002875852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378493,"about_ca_system_score_gemma":0.0004358742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011897,"about_ca_topic_score_gemma":0.002507049,"domain_scores_codex":[0.999733,0.00007845175,0.00003527841,0.00002502005,0.00006017812,0.00006806327],"domain_scores_gemma":[0.9975763,0.0005516836,0.001241407,0.00005653624,0.0001767348,0.000397398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006167273,0.00002909715,0.9991885,0.000004930683,0.000009542794,0.00003576285,0.00001291151,0.0000215897,0.00002428171,0.000004296797,0.00006984657,0.000537626],"study_design_scores_gemma":[0.000009246291,0.0001057392,0.9991826,0.000009136442,0.00001480004,0.0002694861,0.00005990617,0.0001906534,0.00004357988,0.00003622096,0.00007595183,0.000002583472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991751,0.000248579,0.00005693681,0.00009838999,0.000005902792,0.000007612098,0.000125322,0.000002483006,0.0002795252],"genre_scores_gemma":[0.9995713,0.00007522957,0.00005681334,0.00002073294,0.00001445788,0.000007310734,0.0001701276,7.636864e-7,0.00008330458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001886835,"threshold_uncertainty_score":0.006312132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689672790470925,"score_gpt":0.3261547464912334,"score_spread":0.2792580185865241,"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."}}