{"id":"W2159597264","doi":"10.1095/biolreprod.110.084277","title":"Expression and Function of Fibroblast Growth Factor 18 in the Ovarian Follicle in Cattle1","year":2010,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Theca; Paracrine signalling; Internal medicine; Endocrinology; Follicular atresia; Ovarian follicle; Follicle; Granulosa cell; Cell biology; Follicular phase; Receptor; Genetics","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":[0.0002609474,0.0001639455,0.0002612481,0.001026139,0.0004349751,0.0005237118,0.0001439998,0.0003474265,0.001164521],"category_scores_gemma":[0.000326232,0.0002115464,0.0001720391,0.0003518999,0.0002861188,0.0001862938,0.0001365532,0.0002759416,0.0002943512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009806934,"about_ca_system_score_gemma":0.0002899789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008637055,"about_ca_topic_score_gemma":0.006881747,"domain_scores_codex":[0.9998699,0.00001894563,0.000006199662,0.00003067842,0.00003532169,0.00003890577],"domain_scores_gemma":[0.9998325,0.00004943066,0.00003338935,0.000008183504,0.00003104836,0.00004545383],"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":[0.0008655585,0.00002737318,0.01058546,0.000108624,0.00001357678,0.0003394711,0.0002687169,0.00009970758,0.9775828,0.0002835487,0.0001337735,0.009691346],"study_design_scores_gemma":[0.0001097998,0.001394535,0.4496341,0.0001127975,0.0001419347,0.004156156,0.001114712,0.001385609,0.4903883,0.0007123986,0.05079588,0.00005373968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881788,0.007139624,0.001195078,0.00007211572,0.00002163317,0.00002286021,0.0006464908,0.0000178824,0.002705477],"genre_scores_gemma":[0.9895756,0.002722709,0.001958175,0.00006542428,0.00002308374,0.00002439115,0.000770414,0.00001745249,0.004842617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008637055,"threshold_uncertainty_score":0.01717353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603000387480429,"score_gpt":0.2723973905331147,"score_spread":0.2563673866583104,"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."}}