{"id":"W2583101947","doi":"10.1159/000454991","title":"The Association between Biomarker Profiles, Etiology of Chronic Kidney Disease, and Mortality","year":2017,"lang":"en","type":"article","venue":"American Journal of Nephrology","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of British Columbia","funders":"Janssen Canada; American Society of Nephrology","keywords":"Medicine; Internal medicine; Biomarker; Renal function; Hazard ratio; Kidney disease; Dialysis; Cystatin C; Gastroenterology; Fibroblast growth factor 23; Prospective cohort study; Confidence interval; Parathyroid hormone","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001236194,0.000361255,0.0004295898,0.0009451435,0.0006068994,0.0008221067,0.0004678179,0.0005516856,0.0008798703],"category_scores_gemma":[0.003245356,0.0002273768,0.0004649584,0.001534421,0.0003247113,0.000303477,0.0004672062,0.0006365527,0.0001234708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100027,"about_ca_system_score_gemma":0.001836163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06418855,"about_ca_topic_score_gemma":0.08160722,"domain_scores_codex":[0.9991294,0.0001421893,0.0001048709,0.0001723603,0.0002391403,0.0002120891],"domain_scores_gemma":[0.9972084,0.0003630444,0.00130394,0.0001482233,0.0004646389,0.0005116249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003085599,0.000005421794,0.999616,0.000003494806,0.00003609395,0.000006891727,0.000005807868,0.00001657965,0.00004648122,0.000004734122,0.00002129263,0.0002061605],"study_design_scores_gemma":[0.000001661624,0.00001461263,0.9997135,0.000002608822,0.00001633356,0.00005133652,0.00001763845,0.00009387918,0.00002593283,0.00001091573,0.00004980183,0.00000165709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979095,0.000421874,0.00009942283,0.0000703189,0.000004996808,0.000008169626,0.001213799,0.000003490014,0.0002684501],"genre_scores_gemma":[0.9989368,0.00009797014,0.00009764684,0.00002251,0.000006008161,0.000005211128,0.0007835646,0.000001098559,0.00004914563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06418855,"threshold_uncertainty_score":0.1276298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596469743695436,"score_gpt":0.2706262039062886,"score_spread":0.2546615064693342,"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."}}