{"id":"W4401621625","doi":"10.1007/s00134-024-07602-5","title":"Major adverse kidney events as an endpoint in acute kidney injury trials: is it time for a RE-MAKE?","year":2024,"lang":"en","type":"letter","venue":"Intensive Care Medicine","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Alberta Health Services","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Acute kidney injury; Anesthesiology; Pain medicine; Adverse effect; Intensive care medicine; Clinical endpoint; Kidney; Endpoint Determination; Emergency medicine; Clinical trial; Internal medicine; Anesthesia","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06184774,0.00151049,0.006448884,0.001793179,0.005232094,0.01016851,0.005138278,0.07581891,0.008455912],"category_scores_gemma":[0.2115011,0.001681277,0.003943544,0.002332726,0.006343834,0.009143471,0.003794036,0.06604481,0.009263859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00988791,"about_ca_system_score_gemma":0.01818911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006463829,"about_ca_topic_score_gemma":0.01561228,"domain_scores_codex":[0.9366618,0.03135626,0.01143378,0.003621901,0.01396257,0.002963701],"domain_scores_gemma":[0.7497796,0.1667823,0.0181477,0.005779151,0.02979566,0.02971559],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005351446,0.00006974135,0.001117432,0.0002105268,0.0001691859,0.0004565352,0.00009738525,0.00008050955,0.0001124067,0.002409996,0.9751753,0.01956577],"study_design_scores_gemma":[0.003768156,0.0006987116,0.004862128,0.002817698,0.0006804083,0.001238918,0.0006164336,0.001594865,0.0003789356,0.03131239,0.9516595,0.0003719315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001894394,0.001351283,0.00009345666,0.9837312,0.01361335,0.00001492248,0.0000754385,0.00002299299,0.0009079411],"genre_scores_gemma":[0.001843337,0.0008114506,0.0004694728,0.9475893,0.04784447,0.00007852696,0.00005572491,0.000030386,0.001277326],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9381523,"threshold_uncertainty_score":0.327086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06114292488362193,"score_gpt":0.4115603110883864,"score_spread":0.3504173862047645,"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."}}