{"id":"W2026525159","doi":"10.1161/strokeaha.113.004562","title":"C-Reactive Protein as a Prognostic Marker After Lacunar Stroke","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada); Bell (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; University of California, San Diego; McGill University; University of Rochester; University of South Alabama; University of Texas Health Science Center at San Antonio; Medical Center, University of Rochester; University of Alberta; University of Washington; State University of New York; Wake Forest University; University of Miami","keywords":"Medicine; Stroke (engine); Lacunar stroke; C-reactive protein; Internal medicine; Cardiology; Ischemic stroke; Inflammation; Ischemia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001878011,0.0002134988,0.0003117426,0.0001186605,0.00005957214,0.00002833859,0.00008270234,0.00008953329,0.0008943529],"category_scores_gemma":[0.0007456139,0.0001719544,0.0001504482,0.00009231914,0.000095515,0.0001428199,0.0000337914,0.0001583507,0.0005292667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003339746,"about_ca_system_score_gemma":0.0001563576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005039249,"about_ca_topic_score_gemma":0.00001585818,"domain_scores_codex":[0.9986358,0.00007540915,0.000254666,0.0003057937,0.0003851576,0.0003432299],"domain_scores_gemma":[0.9990128,0.00006804373,0.00009553978,0.0003736421,0.0001708553,0.0002791252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008198803,0.001844188,0.7888787,0.001182369,0.001375408,0.0004152437,0.002093144,0.00000857656,0.0875998,0.01308812,0.005795811,0.08951985],"study_design_scores_gemma":[0.003001285,0.0005176648,0.6556658,0.000264417,0.0005811836,0.00004910573,0.0002038349,0.0001406892,0.01098901,0.0004771385,0.3277555,0.0003544522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394266,0.0002600872,0.0002908012,0.0004996,0.0001456762,0.001053784,0.00006453497,0.0001247172,0.05813418],"genre_scores_gemma":[0.9561575,0.000004890967,0.0007613954,0.0004623087,0.0007213645,0.0004395108,0.00004195127,0.00003514659,0.04137592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3219596,"threshold_uncertainty_score":0.9792538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007173130573988247,"score_gpt":0.2437042184604079,"score_spread":0.2365310878864197,"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."}}