{"id":"W3014417414","doi":"10.1177/1747493020915141","title":"CT perfusion core and ASPECT score prediction of outcomes in DEFUSE 3","year":2020,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Modified Rankin Scale; Logistic regression; Infarction; Stroke (engine); Perfusion scanning; Core (optical fiber); Internal medicine; Clinical trial; Cardiology; Perfusion; Myocardial infarction; Ischemic stroke; Ischemia","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":[0.0001289078,0.00007937164,0.0002402675,0.0001965406,0.000007188409,0.000008527576,0.0001309195,0.00002196344,0.00008878647],"category_scores_gemma":[0.0002482345,0.0000630451,0.00008842139,0.00005487182,0.00003867727,0.0001060126,0.00008194681,0.0001947137,0.000001988214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824956,"about_ca_system_score_gemma":0.00004466524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001462126,"about_ca_topic_score_gemma":0.000001916053,"domain_scores_codex":[0.9988535,0.000009891991,0.0004380835,0.00009222861,0.0005358746,0.00007042988],"domain_scores_gemma":[0.9993404,0.00004532968,0.0002697723,0.00005481,0.0002095627,0.00008014882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004209772,0.00009871329,0.9487069,0.00002379233,0.0002084695,0.0003628963,0.000303347,0.0000247167,0.04386902,0.00008318263,0.002018273,0.003879681],"study_design_scores_gemma":[0.005745362,0.0007512656,0.9695255,0.000347952,0.0001307288,0.0005587875,0.0006412915,0.001158973,0.01662054,0.00003428944,0.004413816,0.00007153086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925475,0.0001243206,0.000311365,0.004962869,0.000274788,0.00009700975,0.00003958895,0.00000624299,0.001636335],"genre_scores_gemma":[0.998113,0.0001905271,0.0008599708,0.0004719987,0.0002182376,8.35472e-7,0.000005895702,0.000007797415,0.000131738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02724848,"threshold_uncertainty_score":0.2570905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337915204361043,"score_gpt":0.2861386212625934,"score_spread":0.2523471008264891,"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."}}