{"id":"W2104899509","doi":"10.1186/1476-7120-4-28","title":"Relationship of the metabolic syndrome to carotid ultrasound traits","year":2006,"lang":"en","type":"article","venue":"Cardiovascular Ultrasound","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Western University; Lunenfeld-Tanenbaum Research Institute; Robarts Clinical Trials","funders":"Genome Canada; Heart and Stroke Foundation of Canada","keywords":"Metabolic syndrome; Intima-media thickness; Medicine; Angiology; Ultrasound; Internal medicine; Tunica media; Cardiology; Gastroenterology; Carotid arteries; Obesity; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065896,0.000284956,0.0009279494,0.0001920232,0.0002224689,0.00003232304,0.000218001,0.0001725238,0.00005603363],"category_scores_gemma":[0.001062837,0.0002261736,0.003642117,0.001071353,0.000133813,0.0001070671,0.00004256847,0.0002856921,0.00007646216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143142,"about_ca_system_score_gemma":0.0002812014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003805436,"about_ca_topic_score_gemma":0.00002742751,"domain_scores_codex":[0.9968675,0.0003577356,0.0005858021,0.0005121336,0.001200328,0.0004765319],"domain_scores_gemma":[0.9976421,0.0002654254,0.0001018708,0.001395284,0.0002591428,0.000336185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004081134,0.001003266,0.9038226,0.001861516,0.009783348,0.000185061,0.0006434596,0.01431373,0.04652769,0.01099039,0.0064523,0.004008549],"study_design_scores_gemma":[0.001659019,0.00002788484,0.9746057,0.00009699073,0.002802767,0.00249659,0.00006371553,7.661499e-7,0.002548372,0.0005319383,0.01494228,0.0002239704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698182,0.02009572,0.00342115,0.0001283097,0.0003830726,0.001739337,0.00006726466,0.00009295692,0.004253954],"genre_scores_gemma":[0.9978732,0.00008657735,0.0007224722,0.000202714,0.0003284907,0.0001158911,0.00007323412,0.00005395615,0.0005434511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07078312,"threshold_uncertainty_score":0.9223093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289404860956152,"score_gpt":0.2423344282888051,"score_spread":0.2294403796792436,"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."}}