{"id":"W4281294904","doi":"10.1161/svin.121.000182","title":"Stroke Severity and Early Ischemic Changes Predict Infarct Growth Rate and Clinical Outcomes in Patients With Large‐Vessel Occlusion","year":2022,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Thrombolysis; Stroke (engine); Confounding; Odds ratio; Logistic regression; Internal medicine; Retrospective cohort study; Cohort; Cardiology; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006197235,0.0002085954,0.000467513,0.0002242105,0.0001252728,0.00001667088,0.0000961611,0.00008711094,0.00009776891],"category_scores_gemma":[0.00009993428,0.0001770958,0.0001459151,0.00008560222,0.0001713619,0.00009015022,0.0008662118,0.0005740519,8.097347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001995613,"about_ca_system_score_gemma":0.00001834204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006825729,"about_ca_topic_score_gemma":0.00003268075,"domain_scores_codex":[0.9981815,0.0002666092,0.0003778031,0.0005449983,0.0003353776,0.0002936824],"domain_scores_gemma":[0.9993887,0.0001077881,0.0001322797,0.0001919398,0.00005504029,0.0001242796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001343266,0.0004989921,0.9961766,0.00007731575,0.0004228251,0.00003821241,0.00004557047,5.322508e-7,0.00005073179,0.00004733136,0.000956221,0.0003423791],"study_design_scores_gemma":[0.008016043,0.004466929,0.9806821,0.00002290261,0.0001867989,0.00002943906,0.00003365625,0.0001083448,0.00001665407,0.00001455896,0.006290899,0.0001316189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965023,0.0002960636,0.00006931934,0.002076523,0.0001425034,0.0005301129,0.0001937586,0.00002703898,0.0001623429],"genre_scores_gemma":[0.997965,0.0001632012,0.0000941986,0.001294411,0.0000356041,0.00004441512,0.00009277487,0.00002158073,0.0002888454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549447,"threshold_uncertainty_score":0.7221758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008434530329481197,"score_gpt":0.2519283971539537,"score_spread":0.2434938668244725,"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."}}