{"id":"W4211087240","doi":"10.1016/j.isci.2022.103904","title":"Mining RNAseq data reveals dynamic metaboloepigenetic profiles in human, mouse and bovine pre-implantation embryos","year":2022,"lang":"en","type":"article","venue":"iScience","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Fundação de Amparo à Pesquisa do Estado de São Paulo; Alexander von Humboldt-Stiftung","keywords":"Reprogramming; Embryo; Biology; In vitro; Offspring; In vitro fertilisation; Transcriptome; DNA methylation; Embryonic stem cell; Cell biology; Andrology; Epigenetics; Genetics; Gene; Pregnancy; Gene expression; Medicine","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":[0.0006733823,0.00009359542,0.00009984701,0.00007689022,0.0002198557,0.00003424088,0.0003752257,0.00003451607,0.00001490616],"category_scores_gemma":[0.00009327673,0.00009736905,0.00001304349,0.0001702024,0.00007502679,0.00001136118,0.0005616047,0.0000688618,5.853018e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001377526,"about_ca_system_score_gemma":0.00005074717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005517641,"about_ca_topic_score_gemma":0.0001751924,"domain_scores_codex":[0.9988089,0.000117057,0.0002099162,0.0004885901,0.0001849011,0.0001906562],"domain_scores_gemma":[0.9993774,0.00001648175,0.00009753477,0.0004402482,0.00002307855,0.00004524008],"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":[0.00001510082,0.00002844756,0.01258274,0.000009783399,0.000003130195,0.00000181032,0.000128972,0.000650001,0.9827646,0.0000215893,0.00003790085,0.003755912],"study_design_scores_gemma":[0.001069154,0.0009311651,0.2868173,0.00001952649,0.00003470812,0.00002423011,0.0007541607,0.01150407,0.690854,0.0005843241,0.006792439,0.0006148773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945615,0.003956961,0.0008982988,0.00006161218,0.00006964049,0.0002158441,0.0001011988,0.000006901592,0.0001280315],"genre_scores_gemma":[0.9968773,0.0002719075,0.001588754,0.00005627884,0.00002551506,0.00003799802,0.0004342369,0.00001048447,0.0006975917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2919106,"threshold_uncertainty_score":0.3970595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401575235718883,"score_gpt":0.3105103598235344,"score_spread":0.2864946074663455,"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."}}