{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004238323,0.00007967729,0.0001130306,0.0001041191,0.00002296853,0.000004162558,0.0001156192,0.0001793246,0.00001826881],"category_scores_gemma":[0.0003425325,0.00005962305,0.00002771537,0.0001450819,0.0002022619,0.000009681557,0.00006436617,0.0001648549,9.002781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004516278,"about_ca_system_score_gemma":0.00002794916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804119,"about_ca_topic_score_gemma":0.0001538079,"domain_scores_codex":[0.999104,0.0001372958,0.0002029521,0.0003534894,0.00006752208,0.0001347516],"domain_scores_gemma":[0.9994566,0.0000201682,0.00008987285,0.0003532227,0.00006237002,0.00001780811],"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":[0.0001546683,0.0000537914,0.07957306,0.00002813472,0.000004715536,1.491649e-7,0.00009070124,0.000001608462,0.9175916,0.0001170354,0.0000750276,0.002309478],"study_design_scores_gemma":[0.0002802682,0.0002937081,0.3374968,0.00001020021,0.000001118648,0.000006174591,0.00007080018,0.000002956292,0.6607966,0.0002079591,0.000790442,0.00004300645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990184,0.0002176678,0.0001172699,0.0002011615,0.0001361902,0.0001959582,0.000007746997,0.000003226873,0.0001023663],"genre_scores_gemma":[0.9994531,0.00004937022,0.0003010082,0.000005608867,0.0001149618,0.00001357999,0.00003207072,0.000006865086,0.00002341301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579237,"threshold_uncertainty_score":0.2431357,"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."}}