{"id":"W2274048566","doi":"10.1161/strokeaha.115.012166","title":"Inflammatory Markers and Outcomes After Lacunar Stroke","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Lacunar stroke; Hazard ratio; Internal medicine; Stroke (engine); Quartile; Proportional hazards model; Risk factor; Biomarker; Prospective cohort study; Gastroenterology; Cardiology; Confidence interval; Surgery; Ischemia; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000640284,0.0004519077,0.0004837075,0.0004981288,0.0002867532,0.00064884,0.000263161,0.0004045515,0.0009559359],"category_scores_gemma":[0.002752696,0.0001281402,0.0003318144,0.0007217444,0.0003314852,0.0002674716,0.0003574966,0.0005776965,0.0001530467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027797,"about_ca_system_score_gemma":0.0003144529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157914,"about_ca_topic_score_gemma":0.001102435,"domain_scores_codex":[0.999606,0.0001280074,0.00004469823,0.00008800667,0.00005928118,0.00007412551],"domain_scores_gemma":[0.9980947,0.0002973951,0.001105721,0.0000659382,0.0001364124,0.0002998772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001178348,0.000101078,0.9932004,0.0000681692,0.0002493868,0.0002105277,0.00007784151,0.0002367508,0.0002751256,0.00005024996,0.0001389474,0.004213238],"study_design_scores_gemma":[0.00004336232,0.0004365261,0.9976479,0.00002755806,0.0001648511,0.0004730793,0.00006729353,0.0003790346,0.0001536173,0.0003237018,0.0002740753,0.000008871768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958856,0.003108233,0.0001311208,0.000203869,0.0000206863,0.000009513027,0.0002299599,0.000005009329,0.0004060835],"genre_scores_gemma":[0.999056,0.0005085949,0.00004912545,0.00004329323,0.00005600311,0.00000669415,0.0001812234,8.89972e-7,0.00009808907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157914,"threshold_uncertainty_score":0.003386199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463346491970831,"score_gpt":0.2364738907512373,"score_spread":0.221840425831529,"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."}}