{"id":"W4402697941","doi":"10.1152/ajprenal.00026.2024","title":"COMMD5 counteracts cisplatin-induced nephrotoxicity by maintaining tubular epithelial integrity and autophagy flux","year":2024,"lang":"en","type":"article","venue":"American Journal of Physiology-Renal Physiology","topic":"Chemotherapy-induced organ toxicity mitigation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Nihon University","keywords":"Autophagy; Oxidative stress; Reactive oxygen species; Apoptosis; Cell biology; Programmed cell death; Mitochondrion; Mitochondrial ROS; Intracellular; Nephrotoxicity; Chemistry; Cisplatin; Viability assay; Cancer research; Kidney; Biology; Biochemistry; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005311216,0.0004497934,0.001330307,0.000304608,0.0001357313,0.00004088854,0.000268569,0.0002292289,0.0002995763],"category_scores_gemma":[0.0002359451,0.0003639801,0.0003082018,0.0004494139,0.0009241909,0.0002815347,0.000105362,0.002039994,0.00004154085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524732,"about_ca_system_score_gemma":0.0004149271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133733,"about_ca_topic_score_gemma":0.000004234645,"domain_scores_codex":[0.9972159,0.0004497624,0.0008812743,0.0005567594,0.0003245051,0.0005718566],"domain_scores_gemma":[0.9977298,0.0006618088,0.0006439381,0.0003414803,0.0002758814,0.0003470585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001194265,0.0001846366,0.00005323306,0.00007236125,0.0005039365,0.00005368059,0.000665261,0.00001121271,0.9841149,0.0001483658,0.001973027,0.01102511],"study_design_scores_gemma":[0.002053718,0.006670117,0.03415046,0.0004821774,0.0002317169,0.001299984,0.0005867752,0.001361554,0.9474605,0.003373516,0.001904843,0.0004246641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962283,0.0003078315,0.0002027185,0.002342164,0.0004408076,0.0002820952,0.0000446472,0.00008204269,0.00006932675],"genre_scores_gemma":[0.9945108,0.000105098,0.001097457,0.002992606,0.001112032,0.000008913843,0.0000617727,0.00006982101,0.00004148029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03665444,"threshold_uncertainty_score":0.9998812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111698460128858,"score_gpt":0.2841062967040197,"score_spread":0.2729364506911339,"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."}}