{"id":"W2607108479","doi":"10.1111/hdi.12549","title":"Monocyte/lymphocyte ratio as a better predictor of cardiovascular and all‐cause mortality in hemodialysis patients: A prospective cohort study","year":2017,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Medicine; Internal medicine; Hemodialysis; Proportional hazards model; Prospective cohort study; Multivariate analysis; Kidney disease; Univariate analysis; Lymphocyte; Gastroenterology; Survival analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022073,0.0003632958,0.0005003051,0.0005447232,0.0005117386,0.0008083355,0.0003605295,0.0004672126,0.001314354],"category_scores_gemma":[0.00112932,0.0002913623,0.0005920336,0.0006520225,0.0002550487,0.0004665207,0.0003560538,0.0008298458,0.0002002787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450363,"about_ca_system_score_gemma":0.0002986026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298184,"about_ca_topic_score_gemma":0.001269033,"domain_scores_codex":[0.9996275,0.0000998164,0.0000374926,0.0001059909,0.00006501201,0.00006411356],"domain_scores_gemma":[0.9992456,0.0001273389,0.0002344815,0.0001001932,0.00009065027,0.0002018177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000389371,0.00006427794,0.9985297,0.000006495891,0.000111312,0.00006130665,0.00003219832,0.00002396247,0.0002146588,0.000010232,0.00004745297,0.0005089563],"study_design_scores_gemma":[0.00003330753,0.0002744917,0.9987456,0.000004702599,0.0001090092,0.0002670781,0.00008816108,0.0002541269,0.00006530752,0.00002637691,0.0001252022,0.000006666578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993404,0.0002511014,0.00007556822,0.00002164649,0.000007282238,0.000007506317,0.0001676135,0.00000180752,0.000127129],"genre_scores_gemma":[0.999544,0.00007957545,0.00005892411,0.00001832542,0.00001405693,0.00000855994,0.000181003,0.000001193477,0.00009437218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314354,"threshold_uncertainty_score":0.005405307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844814494554348,"score_gpt":0.2920790684446923,"score_spread":0.2736309234991488,"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."}}