{"id":"W1987638869","doi":"10.1038/ncpendmet0537","title":"Can a network meta-analysis be used to determine the effect of antihypertensive drugs on the risk of incident diabetes?","year":2007,"lang":"en","type":"letter","venue":"Nature Clinical Practice Endocrinology &#38 Metabolism","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Meta-analysis; Diabetes mellitus; Antihypertensive drug; Internal medicine; Pharmacology; Endocrinology; Blood pressure","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","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007858757,0.00105688,0.01021001,0.0006089093,0.0003187438,0.00002831697,0.001092147,0.002576282,0.0001868516],"category_scores_gemma":[0.05174054,0.0004666922,0.005809697,0.001693075,0.001121574,0.00007972295,0.0007045593,0.01704075,0.00002728871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001700018,"about_ca_system_score_gemma":0.0001486042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002982042,"about_ca_topic_score_gemma":0.0001035663,"domain_scores_codex":[0.9842711,0.008554485,0.002649995,0.001378955,0.001928345,0.001217119],"domain_scores_gemma":[0.8788125,0.1131078,0.003246951,0.002866961,0.001782364,0.0001833974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009346649,0.0001546766,0.002091844,0.00006960126,0.3613357,0.0007775288,0.000171266,0.00001689681,0.00001971122,0.00006678252,0.6336563,0.0007050625],"study_design_scores_gemma":[0.0009580486,0.0007266266,0.006034444,0.00002000451,0.4736151,0.00005322834,0.00006479197,0.000004987509,0.0005358318,0.00002796618,0.5177343,0.0002245601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04160876,0.0861339,0.000005713457,0.8666835,0.002214688,0.002267632,0.0002497478,0.00005449444,0.0007815539],"genre_scores_gemma":[0.2126277,0.002313619,0.0004916276,0.778703,0.005068593,0.0001531057,0.00006913177,0.00009092704,0.0004823147],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1710189,"threshold_uncertainty_score":0.9997784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09258422472217315,"score_gpt":0.3926671736542281,"score_spread":0.3000829489320549,"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."}}