{"id":"W3012328912","doi":"10.1182/blood.2019003807","title":"Clinicopathologic predictors of renal outcomes in light chain cast nephropathy: a multicenter retrospective study","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Alberta; Hôpital du Sacré-Cœur de Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Clinical Science Research and Development; National Institutes of Health; University of Alberta; National Institute of Diabetes and Digestive and Kidney Diseases; Brigham and Women's Hospital; U.S. Department of Veterans Affairs","keywords":"Medicine; Renal function; Nephropathy; Acute kidney injury; Kidney disease; Renal biopsy; Biopsy; Urology; Retrospective cohort study; Internal medicine; Gastroenterology; Pathology; Diabetes mellitus; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002250491,0.0001665157,0.000551414,0.0001156716,0.0000270035,0.000007713256,0.0001050636,0.00006462198,0.00006574021],"category_scores_gemma":[0.0008623016,0.0001176628,0.0001110036,0.0002583972,0.00004964602,0.00004672038,0.0001014816,0.0002572829,0.00003529177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261249,"about_ca_system_score_gemma":0.00006539567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006781537,"about_ca_topic_score_gemma":0.00007781431,"domain_scores_codex":[0.9983734,0.0001522889,0.0004160482,0.0003696619,0.0004018874,0.0002866691],"domain_scores_gemma":[0.9992734,0.00005702073,0.0001033665,0.000260636,0.00008289942,0.0002227439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006623921,0.006415174,0.9842896,0.00003394599,0.0002739502,0.002217758,0.002872353,7.156825e-7,0.003040557,0.000003000235,0.00002290051,0.0001676643],"study_design_scores_gemma":[0.0217134,0.004510494,0.969879,0.00004169619,0.0001677921,0.0000115629,0.0007419863,0.0001081778,0.002718336,0.000003239393,0.00002517567,0.00007916591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971477,0.00009774828,0.000005138972,0.0006780749,0.00004641277,0.001362121,0.00004126837,0.0000431056,0.0005783693],"genre_scores_gemma":[0.9993551,0.00001652,0.0001923192,0.000135899,0.00009599806,0.00006648462,0.00001186913,0.00001866002,0.0001071978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02105101,"threshold_uncertainty_score":0.4798151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210375566085368,"score_gpt":0.3161329453192187,"score_spread":0.284029189658365,"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."}}