{"id":"W2012830232","doi":"10.4141/a02-058","title":"Expression of peroxisome proliferator-activated receptor (PPARγ) mRNA in adipose and muscle tissue of Holstein and Charolais cattle","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Deutsche Forschungsgemeinschaft","keywords":"Adipose tissue; Endocrinology; Internal medicine; Marbled meat; Biology; Intramuscular fat; Adipogenesis; Peroxisome proliferator-activated receptor; Peroxisome; Messenger RNA; Muscle tissue; Breed; Receptor; Lipid metabolism; Gene expression; Real-time polymerase chain reaction; Gene; Biochemistry; Medicine; Animal science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000409604,0.000130407,0.0002346582,0.0002942639,0.00008924469,0.00002893227,0.0002615996,0.0001153019,0.00001921766],"category_scores_gemma":[0.0002549492,0.0001159449,0.00002789155,0.0003818923,0.0006401797,0.00005967616,0.00004807098,0.0001556523,4.688877e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008018729,"about_ca_system_score_gemma":0.001343931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008397595,"about_ca_topic_score_gemma":0.0005292961,"domain_scores_codex":[0.9988769,0.000039289,0.000347992,0.0002411806,0.0001947159,0.0002999595],"domain_scores_gemma":[0.9988644,0.000008179347,0.0002508556,0.0001340285,0.0002320251,0.000510545],"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":[0.0000979442,0.00002701194,0.009638836,0.00001987305,0.000005757574,0.000005244924,0.00042306,0.00001700671,0.9890617,0.00001911492,0.00002209933,0.0006623163],"study_design_scores_gemma":[0.0005945535,0.001084707,0.03532871,0.0001315371,0.000004453038,0.00005094884,0.0001964299,0.000001932074,0.9619973,0.00001561596,0.0004775224,0.0001163309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982761,0.001291947,0.00000834124,0.0001513942,0.00007660784,0.0001212963,0.00002299373,0.000001314267,0.00004996183],"genre_scores_gemma":[0.9991565,0.0001213215,0.0006150557,0.00003361164,0.00005328806,0.000002022534,0.000001657713,0.00001133644,0.000005154311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02706447,"threshold_uncertainty_score":0.4728097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009567764747979608,"score_gpt":0.2383863015777783,"score_spread":0.2288185368297987,"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."}}