{"id":"W3084935507","doi":"10.1681/asn.2020040397","title":"Improving Care for Patients after Hospitalization with AKI","year":2020,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Libin Cardiovascular Institute of Alberta; St. Michael's Hospital; University of Alberta; University of Calgary; Queen's University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Advancing Translational Sciences; Duke O'Brien Center for Kidney Research; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Medicine; Intensive care medicine; Acute kidney injury; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008202346,0.00008124937,0.0003520157,0.00001908536,0.0000423455,0.000004366002,0.0001645323,0.00003715245,0.00001438883],"category_scores_gemma":[0.0001207499,0.00004749622,0.0002848843,0.000218332,0.0003843427,0.0000577773,0.00006154433,0.0002048939,5.53435e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006649414,"about_ca_system_score_gemma":0.0002165974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001330359,"about_ca_topic_score_gemma":6.498506e-7,"domain_scores_codex":[0.999157,0.00004154876,0.0002492253,0.00009374743,0.0002946766,0.00016382],"domain_scores_gemma":[0.9983894,0.00005422484,0.0006399665,0.0001250125,0.000672887,0.0001185587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01330044,0.0003183849,0.635883,0.0006646206,0.001239883,0.000009328201,0.01413191,0.00001726482,0.05072303,0.000006671606,0.2624274,0.02127796],"study_design_scores_gemma":[0.009851906,0.04280799,0.8349989,0.0001228545,0.0009505744,0.00007512444,0.01076939,0.001417548,0.003828362,0.00002975399,0.09489699,0.0002506019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770979,0.00008504177,0.002670204,0.01974893,0.00003268863,0.0003104735,0.00003299996,0.000004487018,0.00001727063],"genre_scores_gemma":[0.9681572,0.00003327262,0.01111618,0.02040606,0.000240778,0.000008245795,0.000004343378,0.00001848043,0.00001541714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991159,"threshold_uncertainty_score":0.193684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070055768786884,"score_gpt":0.2809193068403701,"score_spread":0.2702187491525013,"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."}}