{"id":"W3185165648","doi":"10.1016/j.clineuro.2021.106830","title":"Evaluation of combining Alberta Stroke Program Early CT Score (ASPECTS) with mean platelet volume, plateletcrit, and platelet count in predicting short- and long-term prognosis of patients with acute ischemic stroke","year":2021,"lang":"en","type":"article","venue":"Clinical Neurology and Neurosurgery","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Aja University of Medical Sciences","keywords":"Medicine; Mean platelet volume; Modified Rankin Scale; Internal medicine; Logistic regression; Stroke (engine); Multivariate analysis; Ischemic stroke; Platelet; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001209872,0.0003240593,0.0009711665,0.0001832535,0.00007938566,0.00002798321,0.00007975842,0.0002284556,0.00001813932],"category_scores_gemma":[0.0007784756,0.0002744569,0.00008999585,0.0002384148,0.0009446477,0.0001847904,0.0001547984,0.0006768327,2.724217e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001144772,"about_ca_system_score_gemma":0.0002526052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009707085,"about_ca_topic_score_gemma":0.00007123561,"domain_scores_codex":[0.9964749,0.0005385181,0.001086415,0.0008613266,0.0006340346,0.0004048373],"domain_scores_gemma":[0.9973423,0.001204539,0.000413969,0.0003296721,0.0004616615,0.000247821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006012274,0.001028185,0.973442,0.0003071683,0.0005016127,0.001282679,0.00007941204,0.000002425677,0.0003939035,0.000001929552,0.0000236393,0.0169248],"study_design_scores_gemma":[0.005852394,0.003406761,0.9853393,0.0003238416,0.0009513061,0.0003848427,0.00001151696,0.001057435,0.002444778,0.000003911585,0.00002076002,0.000203181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978409,0.0003333123,0.00000114773,0.0001747566,0.000146817,0.001336547,0.00007300865,0.00003661539,0.00005691294],"genre_scores_gemma":[0.9991105,0.0002784494,0.00006967896,0.0002705239,0.00003145373,0.0001050574,0.00007923757,0.00004753033,0.000007629888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672162,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898696459092562,"score_gpt":0.3000708869133242,"score_spread":0.2710839223223986,"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."}}