{"id":"W3109784484","doi":"10.1016/j.trsl.2020.11.011","title":"The furosemide stress test and computational modeling identify renal damage sites associated with predisposition to acute kidney injury in rats","year":2020,"lang":"en","type":"article","venue":"Translational research","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"European Social Fund; European Regional Development Fund; Instituto de Salud Carlos III; European Commission; Natural Sciences and Engineering Research Council of Canada; Consejería de Educación, Junta de Castilla y León; Junta de Castilla y León; Ministerio de Economía y Competitividad","keywords":"Furosemide; Renal function; Subclinical infection; Acute kidney injury; Internal medicine; Kidney; Endocrinology; Urology; Medicine; Creatinine; Diuresis; Pharmacology","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":[0.00135333,0.0001545777,0.0002117877,0.0002759916,0.0004169916,0.0001734316,0.0002132644,0.0001001061,0.00007852646],"category_scores_gemma":[0.002076532,0.0001166332,0.00003799283,0.001204552,0.0002346963,0.0002481116,0.00008334267,0.0009050053,0.00002924634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105422,"about_ca_system_score_gemma":0.0008456847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002556006,"about_ca_topic_score_gemma":0.00003096694,"domain_scores_codex":[0.9963607,0.0002789112,0.0003504008,0.0004379149,0.002048457,0.0005235714],"domain_scores_gemma":[0.997094,0.001199135,0.00003238172,0.000156707,0.000791068,0.0007267412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02027423,0.001169033,0.5015147,0.0004095953,0.0009935448,0.0006823003,0.007891072,0.01604225,0.3859822,0.002216507,0.05860211,0.004222494],"study_design_scores_gemma":[0.003142964,0.001482929,0.2739462,0.0004899538,0.00006112591,0.00001613592,0.0001654666,0.7151294,0.003369148,0.001633889,0.0003144486,0.0002483159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183524,0.00004975208,0.002899624,0.07449014,0.00001183732,0.001276762,0.002169862,0.00005062565,0.0006989552],"genre_scores_gemma":[0.9961627,0.0000338301,0.0009777155,0.0006930331,0.0001157634,0.0001085548,0.001670585,0.00003313204,0.0002046512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990872,"threshold_uncertainty_score":0.4756164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08378240015182478,"score_gpt":0.4102030444748763,"score_spread":0.3264206443230515,"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."}}