{"id":"W4324089271","doi":"10.3389/fmed.2023.1122328","title":"Analysis of gene expression and use of connectivity mapping to identify drugs for treatment of human glomerulopathies","year":2023,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada; McGill University","keywords":"Autophagy; Downregulation and upregulation; Glomerulosclerosis; Unfolded protein response; Podocyte; Glomerulonephritis; Cancer research; Biology; Focal segmental glomerulosclerosis; Nephropathy; Endoplasmic reticulum; Cell biology; Kidney; Gene; Proteinuria; Apoptosis; Endocrinology; Genetics; Diabetes mellitus","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":[0.0001287846,0.00007820177,0.0004120677,0.0003112873,0.00001803865,0.000001431477,0.00004488243,0.00004519115,0.000002288082],"category_scores_gemma":[0.0001466411,0.00006214225,0.00007231692,0.0003098045,0.0001042808,0.000002541435,0.00002637456,0.000009064483,2.191317e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000854468,"about_ca_system_score_gemma":0.00001060951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117141,"about_ca_topic_score_gemma":0.00001378027,"domain_scores_codex":[0.9993522,0.00003247806,0.0002454297,0.0001821637,0.0000929846,0.00009472844],"domain_scores_gemma":[0.9995686,0.00003168289,0.0001097582,0.000185102,0.00005418138,0.00005068317],"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":[0.0001265804,0.00005266769,0.2235117,0.00009828272,0.0002204375,0.000001323539,0.0009326367,0.000196147,0.7725643,0.000004684754,0.0009403455,0.001350895],"study_design_scores_gemma":[0.001910416,0.0007803144,0.1964104,0.0001502611,0.0004626407,2.114569e-7,0.003260653,0.0007389309,0.7956474,0.0000676281,0.0004692218,0.0001019918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931224,0.0009955497,0.005464571,0.000048243,0.00007764323,0.0001914785,0.00008254498,0.00000259166,0.00001498105],"genre_scores_gemma":[0.9972391,0.0005804665,0.001874054,0.00001083816,0.00002402277,0.00002718298,0.0001715586,0.000005665425,0.00006710595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02710134,"threshold_uncertainty_score":0.2534087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495876773769798,"score_gpt":0.3151378300035733,"score_spread":0.2901790622658753,"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."}}