{"id":"W2595975434","doi":"10.3390/nu9030296","title":"Serum Magnesium Concentrations in the Canadian Population and Associations with Diabetes, Glycemic Regulation, and Insulin Resistance","year":2017,"lang":"en","type":"article","venue":"Nutrients","topic":"Magnesium in Health and Disease","field":"Nursing","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada","keywords":"Insulin resistance; Glycemic; Diabetes mellitus; Glycated hemoglobin; Medicine; Population; Body mass index; Insulin; Internal medicine; National Health and Nutrition Examination Survey; Endocrinology; Type 2 diabetes; Demography; Physiology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008108295,0.0004244652,0.0004869119,0.001942011,0.001795756,0.001059486,0.0010137,0.0004669936,0.001033388],"category_scores_gemma":[0.002282768,0.0003354446,0.0007690174,0.005037585,0.0004773137,0.0002783471,0.0005929716,0.0004540384,0.0001201954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024623,"about_ca_system_score_gemma":0.01099631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850176,"about_ca_topic_score_gemma":0.9853182,"domain_scores_codex":[0.9991506,0.00005496667,0.00005606057,0.000134948,0.0004204712,0.0001829242],"domain_scores_gemma":[0.9988845,0.00005946118,0.0002795897,0.00004777166,0.0005653169,0.0001633385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007787956,0.00001332918,0.9950951,0.00003873125,0.0001247424,0.0000365475,0.000148367,0.00006080243,0.0001213011,0.00005090067,0.0007117292,0.003520517],"study_design_scores_gemma":[0.000003521919,0.00001096718,0.9992267,0.0000113312,0.00004089803,0.00004074068,0.0001092202,0.0001209024,0.00001887874,0.00001313241,0.000398282,0.000005398888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871688,0.0038737,0.0001681225,0.0004951172,0.00002264167,0.00002628259,0.005009387,0.0000318815,0.003204015],"genre_scores_gemma":[0.9955881,0.001348548,0.0003307539,0.0001131861,0.00001462489,0.000009834443,0.002092332,0.000005560537,0.0004971326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149824,"threshold_uncertainty_score":0.07434195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245138864169624,"score_gpt":0.2564300115755522,"score_spread":0.243978622933856,"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."}}