{"id":"W4220891698","doi":"10.1021/acs.jafc.1c07358","title":"Circular RNA Profiling Identifies Novel circPPARA that Promotes Intramuscular Fat Deposition in Pigs","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; Department of Education of Liaoning Province; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Intramuscular fat; Adipogenesis; Biology; microRNA; Transcriptome; RNA-Seq; Circular RNA; Gene expression profiling; Cell biology; Gene; Gene expression; KEGG; Computational biology; Genetics; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002122121,0.0002140006,0.0002826572,0.0003767841,0.0001748425,0.0003447752,0.00009840643,0.0003130181,0.0006808342],"category_scores_gemma":[0.0002027916,0.0001965086,0.000353909,0.0002392211,0.0002402085,0.0001507099,0.000178826,0.0003579482,0.0002995018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318754,"about_ca_system_score_gemma":0.0001566866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003127866,"about_ca_topic_score_gemma":0.0005066924,"domain_scores_codex":[0.9998608,0.00001218391,0.000007962964,0.00006503822,0.00003085221,0.00002316889],"domain_scores_gemma":[0.9998451,0.00004216859,0.00005021881,0.00001041525,0.00003060116,0.00002148624],"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":[0.0001852682,0.000009349562,0.00223768,0.00005479945,0.000009092646,0.00007891075,0.00002989607,0.00004416515,0.9951957,0.0000444989,0.00005485236,0.002055685],"study_design_scores_gemma":[0.0000797153,0.002017682,0.368371,0.00007663909,0.0002659346,0.001909535,0.0003651595,0.004818556,0.612609,0.0003846927,0.009050005,0.00005212171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919546,0.001354077,0.004044089,0.00007601996,0.00003307273,0.00002952753,0.001287973,0.0000716633,0.001148928],"genre_scores_gemma":[0.9825596,0.001107497,0.008972592,0.0003558918,0.00005386087,0.0001013044,0.003732476,0.00008928968,0.003027505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006808342,"threshold_uncertainty_score":0.002277613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067814119982627,"score_gpt":0.2121250777711941,"score_spread":0.2014469365713678,"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."}}