{"id":"W2805417982","doi":"10.1016/j.jacc.2018.01.085","title":"SGLT-2 Inhibitors and Cardiovascular Risk","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Steno Diabetes Center Copenhagen; AstraZeneca","keywords":"Medicine; Intensive care medicine; Internal medicine","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":[0.0005097724,0.0000943188,0.0008031888,0.0001153623,0.00004991427,0.000002118992,0.0001119314,0.00002490365,0.000004315408],"category_scores_gemma":[0.0001406448,0.00005445656,0.0005661708,0.000221998,0.0007251906,0.00002929062,0.00009384072,0.0001174845,0.000002103994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003419392,"about_ca_system_score_gemma":0.00005681528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001205545,"about_ca_topic_score_gemma":0.000001308606,"domain_scores_codex":[0.9990773,0.0001813313,0.0002790308,0.00009806681,0.0002241342,0.0001401175],"domain_scores_gemma":[0.9989616,0.00006451021,0.0004067713,0.0003092186,0.0001883134,0.0000695489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00112575,0.00009155614,0.8500379,0.00005866521,0.01729133,0.000411833,0.0001156401,0.0001217827,0.001667599,0.0003343408,0.07753988,0.05120367],"study_design_scores_gemma":[0.004079121,0.006904872,0.5998902,0.0001349559,0.006071304,0.001509557,0.001144393,0.00002320839,0.004027114,0.0005768517,0.3754587,0.0001796238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927684,0.00135754,0.0001289421,0.0007871835,0.0004427534,0.0001608395,0.00001192931,0.000004327072,0.004338059],"genre_scores_gemma":[0.9974284,0.0007178682,0.000757115,0.0001624561,0.0007310707,0.000001547998,1.663118e-7,0.000009782198,0.0001916265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2979189,"threshold_uncertainty_score":0.2671995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007450837801744007,"score_gpt":0.2339711042918593,"score_spread":0.2265202664901153,"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."}}