{"id":"W1026936696","doi":"10.1038/ki.2015.228","title":"Comorbidity as a driver of adverse outcomes in people with chronic kidney disease","year":2015,"lang":"en","type":"article","venue":"Kidney International","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":254,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Alberta Health Services; Université de Sherbrooke; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Comorbidity; Kidney disease; Medicine; Adverse effect; Internal medicine; Intensive care medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001307333,0.0002842815,0.0005866052,0.00138838,0.001087213,0.001821799,0.0005921975,0.000952115,0.003458947],"category_scores_gemma":[0.01265613,0.0003427957,0.001661083,0.003069751,0.0003631202,0.001140898,0.001968464,0.002198726,0.0002317417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140598,"about_ca_system_score_gemma":0.002386262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0237836,"about_ca_topic_score_gemma":0.03269347,"domain_scores_codex":[0.998156,0.000477185,0.000313756,0.000177144,0.0003669103,0.0005089642],"domain_scores_gemma":[0.9921972,0.001337542,0.003537047,0.0003121227,0.0006892732,0.001926747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003603868,0.00003349299,0.9959933,0.00003036049,0.0001383693,0.00006864927,0.00006487073,0.00003585404,0.00002222723,0.0001256544,0.0003542797,0.003097015],"study_design_scores_gemma":[0.000003943724,0.00002239588,0.998442,0.00006914679,0.0001136063,0.0001676583,0.0003201364,0.0002335461,0.00001603398,0.0002400717,0.0003637055,0.000007750208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791874,0.00850276,0.000373665,0.006082548,0.0002206721,0.00002404407,0.001141874,0.00001850062,0.004448788],"genre_scores_gemma":[0.9975133,0.001422026,0.000132587,0.0002833302,0.0001310774,0.000006195977,0.0003177942,0.000003204342,0.0001905592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0237836,"threshold_uncertainty_score":0.04729033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603059069010251,"score_gpt":0.3130809382800487,"score_spread":0.2870503475899462,"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."}}