{"id":"W2152926085","doi":"10.1161/01.hyp.0000083511.91817.b1","title":"Peroxisome Proliferator-Activated Receptor-α and Receptor-γ Activators Prevent Cardiac Fibrosis in Mineralocorticoid-Dependent Hypertension","year":2003,"lang":"en","type":"article","venue":"Hypertension","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Montreal Clinical Research Institute","funders":"Hypertension Canada; Fondation pour la Recherche Médicale","keywords":"Internal medicine; Endocrinology; Fenofibrate; Rosiglitazone; Mineralocorticoid receptor; Medicine; Ventricle; Peroxisome proliferator-activated receptor; Cardiac fibrosis; Aldosterone; Receptor; Fibrosis; Blood pressure; Atrial natriuretic peptide; Peroxisome","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000494371,0.0006845493,0.0007606162,0.000274119,0.0002442539,0.00008212793,0.000222626,0.0007034586,0.00008386502],"category_scores_gemma":[0.0005707816,0.0006192881,0.0001949272,0.0004827183,0.0001580472,0.00005888349,0.0002039022,0.0004843265,0.00005044377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653877,"about_ca_system_score_gemma":0.0002068357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008959738,"about_ca_topic_score_gemma":0.00001259149,"domain_scores_codex":[0.996016,0.0006008651,0.0006846448,0.00134737,0.0004972796,0.0008538396],"domain_scores_gemma":[0.9982724,0.00005524996,0.0002223824,0.0007714367,0.0002604963,0.0004180286],"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":[0.0003656812,0.0004431593,0.01741691,0.00004268984,0.0001066307,0.000009225237,0.00007374776,0.0000292564,0.9766937,0.00002417646,0.0036087,0.00118604],"study_design_scores_gemma":[0.001554555,0.0004923521,0.002468439,0.0001204311,0.00003710761,0.00008248859,0.0002583072,0.00002974578,0.9603679,0.00001779879,0.03380305,0.0007678066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956166,0.001972639,0.00001970967,0.0002253732,0.0008148327,0.0009868908,0.0000349724,0.00008545219,0.0002435343],"genre_scores_gemma":[0.9958094,0.001591659,0.0009231064,0.0004621496,0.0002299798,0.0001793985,0.0002117456,0.0001457775,0.0004467844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03019435,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199983128108729,"score_gpt":0.2166462391110646,"score_spread":0.2046464078299774,"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."}}