{"id":"W3032344398","doi":"10.3760/cma.j.issn.1006-7876.2018.09.008","title":"Evaluation of stroke prognostication using age and National Institute of Health Stroke Scale index for outcome after early endovascular treatment for anterior circulation large vessel occlusion","year":2018,"lang":"en","type":"article","venue":"Chin J Neurol","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Logistic regression; Perioperative; Occlusion; Intracerebral hemorrhage; Internal medicine; Surgery; Ischemic stroke; Subarachnoid hemorrhage; 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":[0.001038008,0.0001373794,0.0003198899,0.0001876545,0.00008738639,0.00001054911,0.00004576737,0.00005678496,0.000006053061],"category_scores_gemma":[0.0002760564,0.0001235461,0.0001108416,0.00008131222,0.00007396366,0.0001329729,0.00004045992,0.00003969119,3.646834e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934983,"about_ca_system_score_gemma":0.0001648095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002445286,"about_ca_topic_score_gemma":0.00001320414,"domain_scores_codex":[0.9983581,0.00006218971,0.0004959953,0.000286556,0.0006276181,0.0001695763],"domain_scores_gemma":[0.998826,0.00004312296,0.0003239084,0.0001998796,0.0005570187,0.00005011915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001780728,0.00120386,0.7423505,0.001421184,0.0005805398,0.000003994623,0.002266731,0.0002778192,0.2051938,0.0001371711,0.0000618931,0.04472177],"study_design_scores_gemma":[0.008869286,0.001255358,0.8584837,0.0001307022,0.0006816456,0.000009757246,0.0000343503,0.1210323,0.008678213,0.00005629433,0.0006613089,0.0001070771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933951,0.000164011,0.06167068,0.0002260738,0.0001735411,0.003540609,0.0002086036,0.00001497914,0.00005054653],"genre_scores_gemma":[0.9947143,0.00000924789,0.004636797,0.0001450225,0.0001344851,0.0002036674,0.0001052762,0.00002067157,0.00003057508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965156,"threshold_uncertainty_score":0.5038062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05858293772391693,"score_gpt":0.355497850392699,"score_spread":0.2969149126687821,"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."}}