{"id":"W4283011568","doi":"10.1161/circresaha.122.320877","title":"Interleukin-6 Predicts Carotid Plaque Severity, Vulnerability, and Progression","year":2022,"lang":"en","type":"article","venue":"Circulation Research","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Women and Children’s Health Research Institute","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Cardiology; Medicine; Internal medicine; Vulnerability (computing); Vulnerable plaque","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001752091,0.00009234627,0.0001572261,0.0001294933,0.0009801142,0.00004357576,0.0001873901,0.00008247714,0.001083118],"category_scores_gemma":[0.000121372,0.00008857739,0.00009446251,0.0002422761,0.0002886968,0.00008683676,0.0005889509,0.0005395595,0.00005134691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119028,"about_ca_system_score_gemma":0.00008964396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001259334,"about_ca_topic_score_gemma":0.00001015375,"domain_scores_codex":[0.9974002,0.001513167,0.0001691385,0.0003745487,0.0002310199,0.00031196],"domain_scores_gemma":[0.9993259,0.0001360523,0.00003490074,0.0003358099,0.0001257681,0.0000415858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001797162,0.0004717981,0.8395399,0.00009971665,0.0002825233,0.000008110766,0.001542693,0.0007218146,0.1172845,0.001239682,0.00606066,0.03256897],"study_design_scores_gemma":[0.001032214,0.0001693206,0.9848832,0.00002537885,0.0000204433,0.00006354951,0.0008236653,0.000159882,0.002549736,0.0007035064,0.009420998,0.0001480273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951796,0.002737128,0.0000596767,0.0002860818,0.0002090396,0.0005413928,0.00004389992,0.00006242731,0.0008807701],"genre_scores_gemma":[0.9991887,0.00004702241,0.000008115369,0.00003519546,0.00003183824,0.0002874507,0.0001420564,0.00001495904,0.0002447249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1453434,"threshold_uncertainty_score":0.99983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668185485449873,"score_gpt":0.3459191880862399,"score_spread":0.2892373332317412,"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."}}