{"id":"W4399053094","doi":"10.1080/15476286.2024.2356334","title":"Assessment of different enrichment methods revealed the optimal approach to identify bovine circRnas","year":2024,"lang":"en","type":"article","venue":"RNA Biology","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada; University of Alberta","funders":"Genome Alberta; Beef Cattle Research Council; China Scholarship Council","keywords":"Biology; Ribosomal RNA; RNA; Computational biology; Circular RNA; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0005629734,0.0002007845,0.0002611625,0.00007619069,0.00005567377,0.0000307302,0.0004547191,0.0001481639,0.00004050615],"category_scores_gemma":[0.0001325078,0.0001334607,0.0002151426,0.0001581145,0.0001290078,0.000002155431,0.0004023343,0.000135232,0.000006569086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004300646,"about_ca_system_score_gemma":0.00009326722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383635,"about_ca_topic_score_gemma":0.000002016011,"domain_scores_codex":[0.9983103,0.0004203743,0.0003306274,0.0005350485,0.0001164056,0.0002872947],"domain_scores_gemma":[0.9990582,0.00007317825,0.00006726068,0.000640261,0.0000601841,0.0001008468],"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":[0.000026787,0.0001648269,0.003139999,0.00007640583,0.0003077142,0.00000248579,0.00003372944,0.0000783512,0.9808395,0.005285254,0.001904125,0.008140806],"study_design_scores_gemma":[0.001238145,0.002288847,0.3767988,0.0001295535,0.0005967392,0.0001359374,0.0003525425,0.0029494,0.485156,0.002117486,0.1270682,0.001168343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787065,0.00605944,0.2010009,0.0003949843,0.0007090081,0.0005303516,0.00006345851,0.00003231318,0.004144505],"genre_scores_gemma":[0.9849287,0.0002128543,0.01364231,0.0002552299,0.00029012,0.0001376662,0.0001778806,0.00002606547,0.0003291705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4956835,"threshold_uncertainty_score":0.544237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356492411051043,"score_gpt":0.4002325152032807,"score_spread":0.3766675910927703,"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."}}