{"id":"W1999035845","doi":"10.1016/s0924-9338(10)71009-9","title":"P02-310 - Alexithymia Predicts Triglyceride Level, Systolic Blood Pressure, and Diabetic Status in Metabolic Syndrome","year":2010,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alexithymia; Waist; Triglyceride; Blood pressure; Metabolic syndrome; Internal medicine; Type 2 diabetes; Toronto Alexithymia Scale; Diabetes mellitus; Endocrinology; Medicine; Psychology; Gastroenterology; Cholesterol; Clinical psychology; Body mass index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278108,0.0003349421,0.0002675614,0.0005027729,0.0003305077,0.0006429986,0.0002172068,0.0003848268,0.00492505],"category_scores_gemma":[0.002249012,0.0001628378,0.0003589706,0.0005234058,0.0002346248,0.00030298,0.0005055168,0.0005820403,0.0005078733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874577,"about_ca_system_score_gemma":0.0002777673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936443,"about_ca_topic_score_gemma":0.003750085,"domain_scores_codex":[0.9997519,0.00007567083,0.00003581603,0.00003705716,0.00005759978,0.00004200748],"domain_scores_gemma":[0.9989278,0.0002432737,0.0004582196,0.00003649706,0.000111098,0.000223076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000848612,0.00004025411,0.9984182,0.000005716395,0.00002933267,0.00003641202,0.00001477919,0.00003582174,0.0001578562,0.00001036333,0.00004868612,0.001117751],"study_design_scores_gemma":[0.000006154938,0.00006909292,0.9992687,0.000004413914,0.00001415889,0.0001857832,0.00004312186,0.0002970217,0.00003648334,0.0000267225,0.00004669473,0.000001594764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987296,0.0001061487,0.0000752515,0.00005115577,0.00000692602,0.000009991862,0.0001745625,0.000003353052,0.0008430023],"genre_scores_gemma":[0.9995052,0.0000404858,0.00009495577,0.0000113984,0.000007176834,0.000004481718,0.0001944054,7.701708e-7,0.0001411169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00492505,"threshold_uncertainty_score":0.01647592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213492269820188,"score_gpt":0.2331033643077012,"score_spread":0.2209684416094994,"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."}}