{"id":"W2983272885","doi":"10.1093/geroni/igz038.2905","title":"INCREASED PHYSIOLOGICAL VARIABILITY PREDICTS DECLINING HEALTH AND CRITICAL TRANSITIONS IN HEMODIALYSIS PATIENTS","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine; Hemodialysis; Quantile; Multivariate statistics; Hazard ratio; Biomarker; Mahalanobis distance; Internal medicine; Emergency medicine; Statistics; Confidence interval; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008912431,0.0002789539,0.0002895929,0.0005937325,0.0002803016,0.0005888125,0.0002548514,0.0003026856,0.0008885747],"category_scores_gemma":[0.003195727,0.00008982346,0.0003479716,0.0005825037,0.0002361158,0.0002352973,0.0004451569,0.0007198472,0.00009964713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944496,"about_ca_system_score_gemma":0.0003473345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346089,"about_ca_topic_score_gemma":0.01259372,"domain_scores_codex":[0.99971,0.00009185513,0.00002758783,0.0000612384,0.00005984052,0.0000495192],"domain_scores_gemma":[0.9980033,0.0005730359,0.0007448583,0.0001577439,0.0002481949,0.0002728752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007059112,0.00001429406,0.9980897,0.000004201364,0.00003780236,0.0000169557,0.00003103272,0.0002116402,0.0002001286,0.00001136697,0.00005677898,0.00125541],"study_design_scores_gemma":[0.00000109769,0.00003051571,0.9983597,0.000002167723,0.00000716837,0.00002788905,0.00004896875,0.001385042,0.00006026591,0.00003432594,0.00003989154,0.000003026122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987912,0.00009313405,0.0005027625,0.00003851112,0.000004270933,0.000006258717,0.0003454237,0.000006775217,0.0002116858],"genre_scores_gemma":[0.9996698,0.00001277454,0.0001133899,0.000006782923,0.000002921804,0.00000256404,0.0001606222,6.935526e-7,0.00003054512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346089,"threshold_uncertainty_score":0.02676511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900442363788844,"score_gpt":0.3389269956158069,"score_spread":0.3099225719779184,"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."}}