{"id":"W2021515198","doi":"10.1016/j.theriogenology.2015.03.031","title":"Fibroblast growth factor 17 and bone morphogenetic protein 15 enhance cumulus expansion and improve quality of in vitro –produced embryos in cattle","year":2015,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"National Health and Medical Research Council; Medical Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Growth differentiation factor-9; Blastocyst; Bone morphogenetic protein 15; Andrology; Biology; Oocyte; In vitro maturation; Fibroblast growth factor; Bone morphogenetic protein; Cell biology; Embryo; Chemistry; Embryogenesis; Folliculogenesis; Genetics; Bone morphogenetic protein 7; Gene; Medicine; Receptor","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006118747,0.0001528519,0.0005262216,0.0001021067,0.00001899719,0.000002034216,0.00005849934,0.0002021137,0.00001715922],"category_scores_gemma":[0.0006546599,0.0001259259,0.0000236927,0.0001297378,0.0004142892,0.00004222978,0.00008925804,0.0002146388,0.000003786586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004967277,"about_ca_system_score_gemma":0.00009981526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009677936,"about_ca_topic_score_gemma":0.0001753304,"domain_scores_codex":[0.9984258,0.0003301772,0.0003874446,0.0005314341,0.00007885924,0.0002462158],"domain_scores_gemma":[0.9992692,0.00004170971,0.0001257277,0.0003860863,0.0000952201,0.00008206835],"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":[0.005630138,0.0001563437,0.03524275,0.0001084248,0.00001590959,0.000007262428,0.001529568,3.776587e-7,0.955278,0.000008568467,0.000002841919,0.002019746],"study_design_scores_gemma":[0.0009889642,0.0003934522,0.4631373,0.0000214389,0.000003804758,0.00001341761,0.0001755162,0.000006812747,0.5348485,0.0003374065,0.000005377007,0.00006803574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963238,0.002198109,0.00002427119,0.0005137285,0.00004447936,0.0008077117,0.00001906569,0.00001467817,0.00005419093],"genre_scores_gemma":[0.999323,0.00003031705,0.0003624495,0.00004263582,0.00003593441,0.00004968934,0.000008604201,0.00001165049,0.0001357741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4278945,"threshold_uncertainty_score":0.5135109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357286899792254,"score_gpt":0.2963380711397712,"score_spread":0.2627652021418486,"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."}}