{"id":"W3130995970","doi":"10.1111/ijcp.14109","title":"The association between dietary acid load with cardiometabolic risk factors and inflammatory markers amongst elderly men: A cross‐sectional study","year":2021,"lang":"en","type":"article","venue":"International Journal of Clinical Practice","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Medicine; Hypertriglyceridemia; Confounding; Odds ratio; Internal medicine; Cross-sectional study; Anthropometry; Metabolic syndrome; Logistic regression; Epidemiology; Environmental health; Obesity; Cholesterol; Triglyceride; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005361094,0.0001547743,0.000455615,0.00008127809,0.0001839127,0.0002642762,0.0001728508,0.0001257538,0.0000404398],"category_scores_gemma":[0.02519289,0.00009362728,0.0002805845,0.0001617456,0.0001095925,0.0006985627,0.00006482843,0.001233223,0.00001211814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218023,"about_ca_system_score_gemma":0.0007085963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006955197,"about_ca_topic_score_gemma":0.00002812432,"domain_scores_codex":[0.9954337,0.0008023283,0.00132956,0.0002364385,0.002039819,0.0001580937],"domain_scores_gemma":[0.9877032,0.006327881,0.002017267,0.0001695428,0.003565071,0.0002170204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003443559,0.0003426342,0.9826688,0.000004242271,0.005090921,0.0004030062,0.00008254585,0.00002215648,0.00006380003,0.00001214646,0.0007215348,0.007144668],"study_design_scores_gemma":[0.003659529,0.0009481627,0.952108,0.00003822826,0.0006904593,0.0003680942,0.0009312893,0.0000184529,0.0001434928,0.00003297222,0.04096931,0.00009205368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914355,0.0004412903,0.0001588087,0.00303318,0.001560505,0.0001559302,0.00001818585,0.00001306874,0.003183553],"genre_scores_gemma":[0.9955513,0.001153818,0.0003676761,0.0003621902,0.00186585,0.000003335367,0.000008257669,0.0000147533,0.0006728562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04024778,"threshold_uncertainty_score":0.9830183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234827115698871,"score_gpt":0.3915967181170947,"score_spread":0.359248446960106,"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."}}