{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259852,0.0001349542,0.0001042814,0.0003874551,0.000141488,0.0001903149,0.0001253474,0.0002246881,0.001310189],"category_scores_gemma":[0.0001371038,0.0001382917,0.0001589096,0.0001357595,0.0001454524,0.0002186582,0.0001813947,0.0001850902,0.0004110748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014637,"about_ca_system_score_gemma":0.000105146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006214648,"about_ca_topic_score_gemma":0.0006934633,"domain_scores_codex":[0.9999316,0.000006149694,0.000004509294,0.00002679033,0.00001242797,0.00001859959],"domain_scores_gemma":[0.9998727,0.00002838156,0.00003891093,0.000009331839,0.00002453623,0.00002622545],"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":[0.00006705261,0.000003272988,0.001039659,0.00002802186,0.000003011637,0.00004232018,0.00002595858,0.00000638997,0.9982022,0.00005174407,0.00001546633,0.0005149886],"study_design_scores_gemma":[0.00002084619,0.000571324,0.2703871,0.00003077238,0.00004310938,0.001641247,0.0003959893,0.0007716565,0.7189843,0.0002081815,0.006928169,0.00001727999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900974,0.002732905,0.003357633,0.00004079199,0.00002529198,0.00002503699,0.0006585736,0.00004889361,0.003013484],"genre_scores_gemma":[0.9871901,0.001385308,0.005507263,0.00006357144,0.00003109463,0.00006250997,0.001184775,0.00002673145,0.004548795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001310189,"threshold_uncertainty_score":0.004383028,"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."}}