{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007917447,0.0003938126,0.0003734558,0.0006186535,0.0003084818,0.0006266354,0.0003591905,0.0005589416,0.001524555],"category_scores_gemma":[0.003124751,0.0002942844,0.0003948723,0.0005645345,0.0002885564,0.0004845744,0.000371367,0.000827104,0.0002471388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008367,"about_ca_system_score_gemma":0.0003043822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389073,"about_ca_topic_score_gemma":0.00161416,"domain_scores_codex":[0.9997237,0.00007454168,0.00003505921,0.00005905297,0.00004802576,0.00005956832],"domain_scores_gemma":[0.9978628,0.0004716741,0.0010293,0.0001196983,0.0001305472,0.0003860842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001208561,0.00002458364,0.9994113,0.000002018997,0.00001742684,0.00002912071,0.00001001221,0.00002256278,0.00004452345,0.000004660789,0.00002598115,0.000286963],"study_design_scores_gemma":[0.00001038803,0.00007429966,0.9993615,0.000002546933,0.00001839749,0.0001627786,0.00002935823,0.0002572391,0.00002703936,0.00002548241,0.00002896413,0.000002124104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995928,0.0001043558,0.00005200875,0.00003016933,0.000003179302,0.000004731593,0.00008241698,0.000002295324,0.0001279491],"genre_scores_gemma":[0.9996605,0.00003895034,0.00005652957,0.000008541692,0.00001323632,0.000004558654,0.0001677893,0.000001037077,0.00004903353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001524555,"threshold_uncertainty_score":0.005100191,"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."}}