{"id":"W2085763974","doi":"10.1016/j.nut.2014.11.012","title":"Association of dietary acid load with cardiovascular disease risk factors in patients with diabetic nephropathy","year":2014,"lang":"en","type":"article","venue":"Nutrition","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Isfahan; Isfahan University of Medical Sciences","keywords":"Medicine; Waist; Internal medicine; Creatinine; Confounding; Kidney disease; Diabetes mellitus; Blood pressure; Nephropathy; Body mass index; Diabetic nephropathy; Anthropometry; Endocrinology; Abdominal obesity; Gastroenterology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001716426,0.0001030617,0.0002562467,0.0000712,0.00002903736,0.000005906808,0.00002369623,0.00004748585,0.00001466897],"category_scores_gemma":[0.0001479557,0.00007286374,0.00009137094,0.0001909889,0.00002281505,0.00009336236,0.000004770378,0.0001163558,0.000006301962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649249,"about_ca_system_score_gemma":0.00003029205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007420053,"about_ca_topic_score_gemma":0.00001037218,"domain_scores_codex":[0.9988791,0.00009323109,0.0001456393,0.0001805852,0.0005714039,0.0001300507],"domain_scores_gemma":[0.9993556,0.00003102309,0.0001102855,0.000219641,0.0001933824,0.00009008819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009127052,0.0005587573,0.9965301,0.0001624145,0.000138118,0.000002408957,0.00003654761,0.0001077266,0.0003220081,0.000001672574,0.0001307746,0.001096781],"study_design_scores_gemma":[0.005843344,0.0007001389,0.9885879,0.0003555786,0.0003469435,1.752779e-7,0.0000198209,0.0001620383,0.00304894,0.00002061304,0.0008231431,0.00009139268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998808,0.0002028724,0.0003295566,0.00009014345,0.00004752859,0.0003750735,0.00003156088,0.00002536031,0.00008990177],"genre_scores_gemma":[0.9994214,0.00007469444,0.000127162,0.00005775178,0.00006031719,0.00002599252,0.0001941489,0.00001232904,0.00002625843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007942214,"threshold_uncertainty_score":0.2971297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004238673415948968,"score_gpt":0.1779164194932958,"score_spread":0.1736777460773468,"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."}}