{"id":"W3176807557","doi":"10.1101/2021.06.25.449773","title":"RNAseq analysis reveals dynamic metaboloepigenetic profiles of human, mouse and bovine pre-implantation embryos","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"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; Alexander von Humboldt-Stiftung","keywords":"Embryo; Reprogramming; Epigenome; Biology; In vitro; Embryonic stem cell; Cell biology; Transcriptome; Andrology; In vitro fertilisation; Embryogenesis; Offspring; Genetics; Pregnancy; Gene; Gene expression; DNA methylation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503892,0.0002744397,0.0002337301,0.0006703282,0.0002586825,0.000719524,0.0001332358,0.0003495524,0.002783826],"category_scores_gemma":[0.0005024612,0.0001736401,0.0002701645,0.0004887333,0.0002836794,0.0001374561,0.0002706538,0.0007483177,0.0009497794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318055,"about_ca_system_score_gemma":0.0001900767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294756,"about_ca_topic_score_gemma":0.001379636,"domain_scores_codex":[0.9997546,0.00003581704,0.00001442888,0.00009166128,0.00006230557,0.00004112829],"domain_scores_gemma":[0.9996735,0.0001477971,0.00005238381,0.00004103879,0.00005304154,0.00003218967],"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":[0.0001172226,0.000005148974,0.002285289,0.00004806478,0.00002241712,0.0001016251,0.00008609561,0.00008035983,0.9930311,0.0001352561,0.0001920337,0.00389542],"study_design_scores_gemma":[0.00001646785,0.0001475095,0.1288934,0.00003761117,0.0001047851,0.00126733,0.0002195122,0.001401233,0.8452676,0.000499672,0.02211139,0.00003347281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266558,0.009618966,0.04132576,0.0007649175,0.0001268535,0.000051636,0.01450593,0.0004919809,0.00645816],"genre_scores_gemma":[0.9428936,0.003604028,0.02604325,0.0006645421,0.00004331677,0.0001133055,0.01612179,0.0004298023,0.01008649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002783826,"threshold_uncertainty_score":0.009312868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508885920887229,"score_gpt":0.2664426191609505,"score_spread":0.2513537599520782,"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."}}