{"id":"W3157626326","doi":"10.1053/j.ajkd.2021.02.325","title":"We Won’t Get Fooled Again: Finding the Who to Follow After Acute Kidney Injury","year":2021,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Kidney Foundation of Canada; Canadian Institutes of Health Research; Canadian Society of Nephrology","keywords":"Medicine; Acute kidney injury; Nephrology; Kidney disease; Internal medicine; Scopus; Intensive care medicine; MEDLINE","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":[0.00273648,0.0005262503,0.001117856,0.0007274061,0.01397234,0.003826088,0.001919753,0.05812859,0.008235482],"category_scores_gemma":[0.02452926,0.0007333995,0.001189554,0.0006032098,0.002849598,0.005528657,0.002491673,0.05764053,0.004390439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005456104,"about_ca_system_score_gemma":0.01590026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02528832,"about_ca_topic_score_gemma":0.0447818,"domain_scores_codex":[0.9966044,0.0009920702,0.0003892247,0.000316293,0.000569479,0.001128525],"domain_scores_gemma":[0.9901665,0.002766066,0.0005571384,0.0001905086,0.001275014,0.005044662],"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":[0.00009867263,0.0002315045,0.005819146,0.00005872193,0.00003036247,0.009618065,0.001311978,0.00005358965,0.0002881511,0.002530204,0.965154,0.01480556],"study_design_scores_gemma":[0.0003967988,0.0006184993,0.0116545,0.002038921,0.0001661981,0.01975304,0.02061608,0.00100034,0.0004948598,0.02306577,0.9198856,0.0003093402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001188193,0.0003543306,0.0000448113,0.9893784,0.006735629,0.00001061967,0.00001601059,0.00001345932,0.002258574],"genre_scores_gemma":[0.006070007,0.0005218584,0.0001603319,0.9813786,0.007456067,0.00003061115,0.00001534597,0.00001747347,0.004349851],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05812859,"threshold_uncertainty_score":0.05028224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671338323903409,"score_gpt":0.310459015619817,"score_spread":0.2937456323807829,"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."}}