{"id":"W1483257192","doi":"10.1074/jbc.m103594200","title":"Peroxisome Proliferator-activated Receptor γ Ligands Differentially Modulate Muscle Cell Differentiation and MyoD Gene Expression via Peroxisome Proliferator-activated Receptor γ-dependent and -independent Pathways","year":2001,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McMaster University","funders":"Heart and Stroke Foundation of Canada","keywords":"Peroxisome proliferator-activated receptor; MyoD; Peroxisome proliferator-activated receptor gamma; Peroxisome proliferator-activated receptor alpha; Cell biology; Peroxisome; Peroxisome proliferator; Receptor; Peroxisome proliferator-activated receptor delta; Chemistry; Biology; Transcription factor; Nuclear receptor; Gene; Myocyte; Biochemistry; Myogenesis","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005193761,0.0008870516,0.0009814658,0.0001503052,0.0003651491,0.0002161227,0.0005318078,0.001313226,0.0002840885],"category_scores_gemma":[0.0002679387,0.0006772795,0.0002967573,0.0002752808,0.0002542778,0.00009794719,0.0004848242,0.001017509,0.000007334758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876198,"about_ca_system_score_gemma":0.0001783199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003676611,"about_ca_topic_score_gemma":6.104507e-7,"domain_scores_codex":[0.9957433,0.0002698419,0.001293588,0.001152205,0.0006965499,0.0008445698],"domain_scores_gemma":[0.9969251,0.00006221154,0.00113448,0.0005189534,0.0005534419,0.0008057904],"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":[0.001629156,0.0008382793,0.01669089,0.000106462,0.0001996907,0.00002595279,0.0001245549,0.00001883007,0.979032,9.747187e-7,0.0001380189,0.001195207],"study_design_scores_gemma":[0.003128944,0.001137637,0.004685353,0.0001108537,0.00005831631,0.000296916,0.0001796973,0.00004967782,0.9887111,0.00005909346,0.0007663592,0.000816096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965478,0.001514452,0.000660086,0.0001563046,0.0003795832,0.0005142879,0.00008962428,0.00007350792,0.00006434077],"genre_scores_gemma":[0.9937065,0.003759528,0.000677595,0.0001217096,0.001051015,0.00006052373,0.0002914198,0.0001002052,0.0002315425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200553,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253617674109826,"score_gpt":0.2159450436125115,"score_spread":0.2034088668714132,"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."}}