{"id":"W4255369963","doi":"10.1503/cmaj.190278","title":"Kidney age, not kidney disease","year":2019,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Kidney; Kidney disease; Medicine; Computer science; World Wide Web; Data science; Internal medicine","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":[0.002447061,0.0006851266,0.0009077037,0.001194255,0.002070202,0.003083806,0.001323226,0.002611209,0.06230257],"category_scores_gemma":[0.03281946,0.0004438338,0.0006142638,0.001764333,0.001493773,0.002241834,0.001289693,0.008175049,0.0371228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722988,"about_ca_system_score_gemma":0.005752524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355013,"about_ca_topic_score_gemma":0.03440973,"domain_scores_codex":[0.997256,0.0004849678,0.0004743289,0.0003506365,0.001149861,0.0002842156],"domain_scores_gemma":[0.9844375,0.004253834,0.001203001,0.001153931,0.007813414,0.001138355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001037479,0.000001937683,0.0001355286,0.00005832628,0.000003064834,0.00003223855,0.00002861701,0.000006456096,0.000010209,0.002396303,0.9895461,0.007770866],"study_design_scores_gemma":[0.000006454527,0.000005485001,0.0004630588,0.0001588062,0.000005621846,0.0001605198,0.00005479874,0.00001312818,0.00003079306,0.0009402161,0.9981551,0.000005937366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003932811,0.009683139,0.000586544,0.1672351,0.7640321,0.0000209244,0.003840596,0.0003002816,0.05390808],"genre_scores_gemma":[0.02685517,0.02970993,0.003539213,0.2138483,0.2097502,0.0001318321,0.007743367,0.001090842,0.5073312],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06230257,"threshold_uncertainty_score":0.2084229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008497653041390258,"score_gpt":0.2446352649986254,"score_spread":0.2361376119572351,"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."}}