{"id":"W4402254753","doi":"10.1093/ndt/gfae127","title":"Global data monitoring systems and early identification for kidney diseases","year":2024,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta; University of Calgary","funders":"University of Alberta; International Society of Nephrology","keywords":"Medicine; Identification (biology); Kidney disease; Intensive care medicine; Kidney; Computational biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07424571,0.0006233271,0.0004725136,0.006797358,0.0008909319,0.005523159,0.001345345,0.001030605,0.004755703],"category_scores_gemma":[0.1527168,0.0004231096,0.000776354,0.01106341,0.003045468,0.008322245,0.008140406,0.001969408,0.0005514791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566728,"about_ca_system_score_gemma":0.009478225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009442933,"about_ca_topic_score_gemma":0.00498651,"domain_scores_codex":[0.9426476,0.03992991,0.005452462,0.004209348,0.005904886,0.001855808],"domain_scores_gemma":[0.6642237,0.1925939,0.07498952,0.0285979,0.03309307,0.006501866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001643486,0.0001001787,0.7126088,0.002153705,0.0003294607,0.00008332979,0.004764522,0.005009994,0.0003771886,0.0525092,0.03089547,0.1910039],"study_design_scores_gemma":[0.0001118044,0.0004196633,0.6498302,0.006441493,0.000419606,0.0004324954,0.01028263,0.0122364,0.002305237,0.06019955,0.2571433,0.0001776136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4068528,0.03139709,0.1287944,0.219006,0.001540261,0.001962889,0.04705965,0.002315627,0.1610713],"genre_scores_gemma":[0.9428714,0.005664804,0.03794055,0.00427491,0.0004945091,0.0005100785,0.007314287,0.0001107974,0.0008185938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07424571,"threshold_uncertainty_score":0.3926535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286278158413674,"score_gpt":0.3077521990113991,"score_spread":0.2848894174272624,"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."}}