{"id":"W4399182191","doi":"10.1007/s10815-024-03143-4","title":"Rescue in vitro maturation using ovarian support cells of human oocytes from conventional stimulation cycles yields oocytes with improved nuclear maturation and transcriptomic resemblance to in vivo matured oocytes","year":2024,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; York University; Harvard University","keywords":"Oocyte; In vitro maturation; In vitro; Andrology; Biology; Cell biology; Transcriptome; In vivo; Stimulation; Ovulation induction; In vitro fertilisation; Gene expression; Ovarian follicle; Gene; Ovary; Embryo; Endocrinology; Ovulation; Genetics; Medicine; Pregnancy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569532,0.000171434,0.0002881055,0.0001388305,0.00009717311,0.0002313643,0.0001296526,0.0001332327,0.001406249],"category_scores_gemma":[0.0002213955,0.00005939398,0.0001551354,0.0001072147,0.0001228399,0.00008695501,0.0001579844,0.0002132266,0.0003302862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202467,"about_ca_system_score_gemma":0.0002102781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603534,"about_ca_topic_score_gemma":0.0003815022,"domain_scores_codex":[0.9999052,0.00001230387,0.00001287076,0.00002269183,0.00003171626,0.00001514472],"domain_scores_gemma":[0.9999135,0.00001415117,0.000030235,0.00001182371,0.00001465312,0.00001565015],"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":[0.0002706284,0.00003283486,0.002240062,0.00005336175,0.000005398389,0.00006781485,0.00003977139,0.00002310818,0.9943169,0.00003967245,0.00004724258,0.002863307],"study_design_scores_gemma":[0.00009194784,0.002571279,0.05246307,0.00002348298,0.00007507348,0.001309779,0.0002124573,0.0005196253,0.933117,0.00006895979,0.009540624,0.000006612161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967281,0.0008149192,0.001272501,0.00003972499,0.00001494907,0.00006016116,0.000236109,0.00001813028,0.0008153946],"genre_scores_gemma":[0.9944792,0.0005428561,0.00195214,0.00002550835,0.00001469731,0.00007140592,0.0009713251,0.00001436757,0.001928477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406249,"threshold_uncertainty_score":0.004704356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484963793588701,"score_gpt":0.2950981854469811,"score_spread":0.2702485475110941,"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."}}