{"id":"W2953761983","doi":"10.1016/j.jdiacomp.2019.06.007","title":"Correction of hypomagnesemia by dapagliflozin in patients with type 2 diabetes: A post hoc analysis of 10 randomized, placebo-controlled trials","year":2019,"lang":"en","type":"article","venue":"Journal of Diabetes and its Complications","topic":"Magnesium in Health and Disease","field":"Nursing","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"AstraZeneca","keywords":"Dapagliflozin; Medicine; Hypomagnesemia; Placebo; Hypermagnesemia; Internal medicine; Type 2 diabetes; Diabetes mellitus; Population; Randomized controlled trial; Confidence interval; Creatinine; Gastroenterology; Endocrinology; Magnesium","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":[0.001543519,0.0001443139,0.00194837,0.0006575618,0.00004479916,0.00002100172,0.0001265579,0.00006735211,0.0002116781],"category_scores_gemma":[0.002546289,0.0000976336,0.0003179757,0.0007676056,0.00005271543,0.0001688356,0.0000140833,0.000121727,0.000002591646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003466626,"about_ca_system_score_gemma":0.00007126429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001035052,"about_ca_topic_score_gemma":0.000005975352,"domain_scores_codex":[0.9973275,0.0005575555,0.001491955,0.0001470705,0.0002854557,0.0001904423],"domain_scores_gemma":[0.9939237,0.002855516,0.001880072,0.0001967681,0.000991135,0.0001528309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2590923,0.001529164,0.7197157,0.0005416722,0.001383259,1.019915e-7,0.0003760798,0.00112385,0.009570122,0.00004136967,0.001940042,0.004686372],"study_design_scores_gemma":[0.3176699,0.004205968,0.634828,0.0002781705,0.007244899,1.77387e-7,0.0001566959,0.03434046,0.0008149243,0.00007247311,0.0001052321,0.0002831698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949932,0.002913774,0.00000432705,0.0002855403,0.0002985113,0.001092199,0.0000914495,0.000004714163,0.0003163079],"genre_scores_gemma":[0.9995923,0.00002241248,0.00007142286,0.0001292281,0.000025289,0.00002433922,0.00006109235,0.00001055901,0.0000633814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08488774,"threshold_uncertainty_score":0.3981383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009440733940858958,"score_gpt":0.2622841808544424,"score_spread":0.2528434469135834,"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."}}