{"id":"W4285097281","doi":"10.1016/j.kint.2022.06.012","title":"The next step in chronic kidney disease staging: individualized risk prediction","year":2022,"lang":"en","type":"editorial","venue":"Kidney International","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Kidney disease; Medicine; Internal medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0163673,0.003959157,0.006759384,0.004362235,0.002507541,0.008377288,0.004681858,0.01936686,0.007546637],"category_scores_gemma":[0.05266533,0.001837351,0.004077185,0.001887592,0.003466712,0.00706604,0.002302775,0.03995758,0.008484705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003607586,"about_ca_system_score_gemma":0.004906171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320723,"about_ca_topic_score_gemma":0.007973351,"domain_scores_codex":[0.989943,0.003329595,0.001623288,0.0009590505,0.003760002,0.0003849819],"domain_scores_gemma":[0.9295958,0.04003044,0.002533175,0.001145938,0.02229874,0.004395984],"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":[0.00004373703,0.00001231799,0.0000411369,0.0003416681,0.0000591814,0.00004743686,0.0000100899,0.00003671395,0.00002286534,0.0004515394,0.987823,0.01111029],"study_design_scores_gemma":[0.0002628105,0.00009136959,0.0007451955,0.002974868,0.0004626329,0.0004645262,0.00008677172,0.0007970998,0.0001335631,0.00481027,0.9890704,0.0001004819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001887678,0.01984472,0.0003402516,0.05613782,0.9227986,0.00001859591,0.00005559805,0.00005830422,0.0007272233],"genre_scores_gemma":[0.0002143977,0.009789866,0.0002314028,0.0258232,0.962071,0.00001962554,0.00003189905,0.00002214669,0.001796383],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01936686,"threshold_uncertainty_score":0.08655959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212284479186208,"score_gpt":0.2851177320952606,"score_spread":0.2729948873033985,"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."}}