{"id":"W3049297405","doi":"10.2196/20578","title":"Prognostic Machine Learning Models for First-Year Mortality in Incident Hemodialysis Patients: Development and Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Medicine; Dialysis; Mortality rate; Area under the curve; Internal medicine; Machine learning; Computer science","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":[0.01262321,0.00120847,0.0007442935,0.0008154199,0.0002530084,0.0005881831,0.001024154,0.0006990933,0.0009239074],"category_scores_gemma":[0.01386359,0.0003256373,0.001037479,0.0004422499,0.0002676716,0.0005457128,0.0007669404,0.001046311,0.000429433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006969061,"about_ca_system_score_gemma":0.001458712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073518,"about_ca_topic_score_gemma":0.002004868,"domain_scores_codex":[0.998609,0.000885878,0.00008666421,0.0001526928,0.0001585894,0.0001072273],"domain_scores_gemma":[0.9899834,0.0068402,0.0005076469,0.0008628971,0.001543507,0.0002621928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002429185,0.003157443,0.7089834,0.0001539562,0.001086136,0.000239693,0.0002667424,0.1703319,0.001778773,0.000354757,0.002236398,0.1089816],"study_design_scores_gemma":[0.0003452011,0.002083326,0.1023846,0.00007724465,0.0003708645,0.0002748461,0.00008148848,0.8907917,0.00221472,0.0006265962,0.0007142501,0.0000350978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789432,0.0004489367,0.01897439,0.0001403347,0.00002613493,0.0002602386,0.0005051114,0.0001846421,0.0005170066],"genre_scores_gemma":[0.9860325,0.0001675683,0.01225818,0.00003682201,0.00001339371,0.0001679609,0.001046848,0.0000125988,0.000264032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262321,"threshold_uncertainty_score":0.06675869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661181780276673,"score_gpt":0.2939131856849027,"score_spread":0.2573013678821359,"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."}}