{"id":"W6907883457","doi":"10.25384/sage.c.5113712.v1","title":"Derivation and Internal Validation of a Clinical Risk Prediction Tool for Hyperkalemia-Related Emergency Department Encounters Among Hemodialysis Patients","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Emergency department; Dialysis; Logistic regression; Decile; Cohort; Regression analysis; Stepwise regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0206643,0.0008515932,0.0005562601,0.001946758,0.0004048684,0.001697692,0.001133821,0.0007302994,0.0005938335],"category_scores_gemma":[0.05812117,0.0003085001,0.001035239,0.001384644,0.0007489371,0.0004689928,0.001176431,0.0009357004,0.0003592048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581109,"about_ca_system_score_gemma":0.002514291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108477,"about_ca_topic_score_gemma":0.004306952,"domain_scores_codex":[0.9924004,0.003705129,0.0007546453,0.0007949881,0.002042493,0.0003022731],"domain_scores_gemma":[0.955496,0.02303912,0.006967608,0.00274338,0.01105005,0.0007038558],"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":[0.0001609631,0.0001172019,0.9869753,0.00001931796,0.0001185378,0.00002560847,0.0001558672,0.002029827,0.0002738198,0.00009163212,0.0003767697,0.009655096],"study_design_scores_gemma":[0.00009409418,0.0006220862,0.9425802,0.00007957631,0.0001682559,0.0002355258,0.0003391104,0.05307464,0.001547935,0.0003159496,0.000913562,0.00002914109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865386,0.0001026511,0.01093067,0.0001246654,0.0000283156,0.000341319,0.0008370675,0.0001176821,0.0009789933],"genre_scores_gemma":[0.9868335,0.00004322872,0.01135644,0.00004423783,0.00001718813,0.0001942515,0.001397636,0.00001326794,0.0001002666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0206643,"threshold_uncertainty_score":0.1092846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04709594153604155,"score_gpt":0.3409767362074985,"score_spread":0.293880794671457,"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."}}