{"id":"W3198951773","doi":"10.2337/dc21-1170","title":"A Biomarker-Based Score for Risk of Hospitalization for Heart Failure in Patients With Diabetes","year":2021,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Center for Advancing Translational Sciences","keywords":"Medicine; Internal medicine; Copeptin; TIMI; Dapagliflozin; Saxagliptin; Myocardial infarction; Hazard ratio; Diabetes mellitus; Alogliptin; Framingham Risk Score; Placebo; Type 2 Diabetes Mellitus; Heart failure; Cardiology; Thrombolysis; Sitagliptin; Endocrinology; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002098731,0.0008208213,0.0007612805,0.001787011,0.000305655,0.0008382741,0.0004476573,0.0004766476,0.001373379],"category_scores_gemma":[0.00642743,0.0001620273,0.001023954,0.001159078,0.0001829391,0.0005186024,0.0008307098,0.0006360051,0.0003654212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003118648,"about_ca_system_score_gemma":0.0003892254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155467,"about_ca_topic_score_gemma":0.001539499,"domain_scores_codex":[0.9987423,0.0004523362,0.0002048276,0.0001645034,0.0003524423,0.00008375147],"domain_scores_gemma":[0.997206,0.0007595916,0.001095832,0.0001599454,0.0004972591,0.0002813957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004453982,0.00006651186,0.9895715,0.00002308421,0.0004049605,0.00003238492,0.00002086744,0.0009107568,0.0003215096,0.00006350741,0.0005007784,0.007638826],"study_design_scores_gemma":[0.0001704288,0.0008097878,0.9771817,0.00003066053,0.0003211142,0.0004192571,0.00008760885,0.01926014,0.0003973202,0.0003514914,0.0009381009,0.00003251668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916306,0.0005081754,0.004059927,0.0002032252,0.00005914568,0.0000791176,0.002007584,0.00007206749,0.001380067],"genre_scores_gemma":[0.9946601,0.0001198212,0.003066152,0.00005977936,0.00004540814,0.00005672651,0.001727549,0.000006289622,0.0002582709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002098731,"threshold_uncertainty_score":0.01109922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006605933916149059,"score_gpt":0.2180033022157039,"score_spread":0.2113973682995548,"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."}}