{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001140689,0.0001700234,0.0001400053,0.0001187126,0.000107832,0.00006331653,0.0001359809,0.00005190247,0.0004899275],"category_scores_gemma":[0.0002893987,0.0001147232,0.00006412763,0.00005300641,0.0001017264,0.0003072567,0.00008400222,0.00008360483,0.0003086177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001595237,"about_ca_system_score_gemma":0.00002312038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.164753e-7,"about_ca_topic_score_gemma":0.000005472853,"domain_scores_codex":[0.9986765,0.0001280762,0.0002322212,0.0004061516,0.0002995501,0.0002575095],"domain_scores_gemma":[0.9992512,0.0002195364,0.0000767178,0.0002902719,0.00002145268,0.0001408322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005689692,0.00000980836,0.009110725,0.000005668534,0.000002541896,0.00003723916,0.00002781747,5.12958e-7,0.9816775,0.005203282,0.0003309019,0.003537124],"study_design_scores_gemma":[0.0008359501,0.00005863633,0.0238258,0.000009691736,0.000006898505,0.00001885217,0.00001084511,0.00003340825,0.9595514,0.0002214277,0.01523321,0.000193858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939673,0.000008398437,0.000480988,0.002030685,0.0004246022,0.0001970679,0.00008737657,0.0001708464,0.002632743],"genre_scores_gemma":[0.9722726,0.00005767408,0.0001639474,0.001919333,0.00005939779,0.00003729676,3.333461e-7,0.00002448897,0.02546495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283221,"threshold_uncertainty_score":0.5364363,"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."}}