{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149882,0.0006095693,0.000514263,0.0008290645,0.0003289598,0.0007092752,0.0004875417,0.0005990929,0.0007914893],"category_scores_gemma":[0.005294258,0.0001743893,0.0003962292,0.0009490883,0.0003691709,0.0003975423,0.0003903802,0.0007145518,0.0001698136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530977,"about_ca_system_score_gemma":0.0003530424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098849,"about_ca_topic_score_gemma":0.001379237,"domain_scores_codex":[0.9993724,0.000222117,0.00007025422,0.0001233265,0.0001257941,0.00008604141],"domain_scores_gemma":[0.9961941,0.001034788,0.001584125,0.0002011122,0.0003295383,0.00065638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009308494,0.00003074068,0.9952786,0.00001656883,0.0001001576,0.00008874275,0.00002300611,0.0001292351,0.0002082447,0.0000144007,0.00009355814,0.003085879],"study_design_scores_gemma":[0.00004113548,0.0004302539,0.9966667,0.00001616758,0.0002032955,0.0005952143,0.0000464404,0.001385003,0.000259595,0.0001288882,0.0002159318,0.00001145376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968947,0.002190109,0.0002279104,0.0001697473,0.0000223356,0.000008965234,0.0001717791,0.00001174528,0.0003026634],"genre_scores_gemma":[0.9994504,0.0001838552,0.000123439,0.00001947452,0.00004006333,0.000003264721,0.0001309126,0.000001244665,0.00004738764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149882,"threshold_uncertainty_score":0.007926583,"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."}}