{"id":"W2107626167","doi":"10.1016/j.atherosclerosis.2006.11.024","title":"Relationship between serum magnesium values, lipids and anthropometric risk factors","year":2006,"lang":"en","type":"article","venue":"Atherosclerosis","topic":"Magnesium in Health and Disease","field":"Nursing","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. John’s Health Sciences Centre; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research","keywords":"Triglyceride; Internal medicine; Endocrinology; Anthropometry; Albumin; Cholesterol; Body mass index; Diabetes mellitus; Population; Calcium; Stepwise regression; Serum albumin; Medicine; Blood lipids","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003348076,0.0002848182,0.000291571,0.0003216123,0.0007353085,0.000115583,0.0001608888,0.0002114908,0.0002122114],"category_scores_gemma":[0.0004735941,0.0002677769,0.0001038458,0.0009439282,0.0001880788,0.0002526873,0.00005208661,0.0002584821,0.00008921728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000916188,"about_ca_system_score_gemma":0.00002596773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004551796,"about_ca_topic_score_gemma":0.00004926719,"domain_scores_codex":[0.9979004,0.0002487616,0.0004529818,0.0004833043,0.000340553,0.0005740067],"domain_scores_gemma":[0.9980831,0.0008850193,0.0002093159,0.0004247816,0.00005997463,0.0003378385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002411521,0.00009702893,0.9973608,0.0001630781,0.000001788382,2.319924e-7,0.0001316171,0.000008180543,0.00008039152,0.0001079679,0.000858983,0.001165861],"study_design_scores_gemma":[0.0006666649,0.0002670043,0.9950852,0.000008143514,0.0001820265,4.327566e-7,0.0001022228,0.00005898214,0.0006363968,0.002263881,0.0004323813,0.0002966284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959503,0.0006920113,0.0001106062,0.0006402924,0.0007361574,0.0003479081,0.0002531148,0.0002674347,0.001002111],"genre_scores_gemma":[0.9982833,0.000009173317,0.0004265692,0.0001155981,0.0006262928,0.00001951494,0.0000558604,0.00006077686,0.0004029086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004502529,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724013441835701,"score_gpt":0.2808833371297274,"score_spread":0.2436432027113704,"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."}}