{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605039,0.000264057,0.0002957399,0.0002932313,0.0001348362,0.0004679621,0.0001539124,0.0002718971,0.000938213],"category_scores_gemma":[0.00009878815,0.0002038971,0.0002632388,0.0002595732,0.0002413736,0.0001434101,0.0002351874,0.000415405,0.0003597171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601884,"about_ca_system_score_gemma":0.0002652973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005477233,"about_ca_topic_score_gemma":0.00179406,"domain_scores_codex":[0.9997731,0.00003992352,0.00003003993,0.00005088567,0.00004735789,0.00005874885],"domain_scores_gemma":[0.9999428,0.00001004708,0.00001467073,0.000005988571,0.00000771782,0.00001872054],"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":[0.0002542953,0.00002695181,0.0004472857,0.00005333869,0.000007893853,0.00004237516,0.00002019406,0.00003779186,0.9976278,0.00006144939,0.00002540307,0.001395326],"study_design_scores_gemma":[0.00007216894,0.0005142361,0.017938,0.00002389609,0.00005735589,0.0002692076,0.0001496367,0.0004232602,0.9763883,0.00005426764,0.00409854,0.00001111655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911711,0.005083412,0.001175951,0.0001085317,0.00003743678,0.00003089871,0.0003175357,0.00002773493,0.002047379],"genre_scores_gemma":[0.9885635,0.00418642,0.001624439,0.0002129462,0.00001590161,0.00008041739,0.0006351337,0.00001131421,0.004669917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000938213,"threshold_uncertainty_score":0.003138602,"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."}}