{"id":"W3083478421","doi":"10.1177/2054358120953287","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":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Potassium and Related Disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Kidney Foundation of Canada","keywords":"Hyperkalemia; Medicine; Hemodialysis; Emergency department; Dialysis; Population; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02190306,0.0008503789,0.0005870031,0.002238182,0.0004382045,0.001671676,0.001161979,0.0006817076,0.0006115178],"category_scores_gemma":[0.05582188,0.0003038881,0.00114079,0.001486734,0.0007313612,0.0004638424,0.001202155,0.0009132935,0.0003338175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670513,"about_ca_system_score_gemma":0.002921905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006206351,"about_ca_topic_score_gemma":0.00576655,"domain_scores_codex":[0.9926175,0.003485904,0.0007619677,0.0007642551,0.002075112,0.0002951675],"domain_scores_gemma":[0.9569905,0.02111702,0.007391057,0.002768437,0.01096321,0.0007698805],"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":[0.0001658896,0.0001231327,0.9875143,0.00002022848,0.0001297513,0.00002687496,0.0001539325,0.002137969,0.0002457054,0.00009449346,0.000374096,0.009013508],"study_design_scores_gemma":[0.00009308666,0.0005835453,0.9409041,0.00007875114,0.0001624101,0.0002100883,0.0003079308,0.05514252,0.001291666,0.000316699,0.000879288,0.00002996231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853891,0.000106103,0.01194367,0.0001240082,0.00002997721,0.0003814764,0.0008831028,0.0001152845,0.001027317],"genre_scores_gemma":[0.9874569,0.00004180596,0.01073408,0.00004061134,0.0000162026,0.0001965336,0.001403333,0.00001236062,0.00009819948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02190306,"threshold_uncertainty_score":0.1158358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557820859922959,"score_gpt":0.2845787778504459,"score_spread":0.2690005692512163,"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."}}