{"id":"W4376132234","doi":"10.1186/s13048-023-01172-8","title":"Epitranscriptome marks detection and localization of RNA modifying proteins in mammalian ovarian follicles","year":2023,"lang":"en","type":"article","venue":"Journal of Ovarian Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Institut National de la Recherche Scientifique; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; Oocyte; Messenger RNA; Cell biology; Polyadenylation; RNA; Folliculogenesis; Embryo; Reprogramming; Somatic cell; Methyltransferase; RNA-binding protein; Epigenetics; Untranslated region; Methylation; Andrology; Embryogenesis; 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":[0.003299553,0.0000811225,0.000168803,0.0006673991,0.0001028096,0.00005061365,0.0001953156,0.0001388036,0.00001191283],"category_scores_gemma":[0.0004722509,0.00007333849,0.00006416741,0.0007465744,0.0001019997,0.00002027448,0.00008656362,0.0003611803,0.000001872021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000370928,"about_ca_system_score_gemma":0.0001568788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002691561,"about_ca_topic_score_gemma":0.0001646156,"domain_scores_codex":[0.998205,0.0003397808,0.0003879427,0.000171874,0.0005321412,0.000363266],"domain_scores_gemma":[0.9992297,0.00004108324,0.0001021689,0.0001646226,0.0003224991,0.0001399558],"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":[0.0005137821,0.00004095879,0.004901877,0.00009903634,0.00003309883,0.00005763131,0.0001383711,0.0003628918,0.9801002,0.00007968913,0.0001062065,0.01356629],"study_design_scores_gemma":[0.003663068,0.002118052,0.1095589,0.0003292943,0.00001277722,0.0001496555,0.001457591,0.0142054,0.8637501,0.001912193,0.00259799,0.0002449361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889133,0.0002861918,0.009865778,0.0003754249,0.00004742165,0.0002431794,0.000005213808,0.000003202555,0.0002602782],"genre_scores_gemma":[0.9986007,0.0003992934,0.0004435763,0.00001189822,0.000130292,0.000009083582,0.000005376702,0.00001718906,0.0003826504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163501,"threshold_uncertainty_score":0.2990657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443450486987628,"score_gpt":0.3417346182703333,"score_spread":0.2973895695715705,"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."}}