{"id":"W1988373380","doi":"10.1071/rdv25n1ab2","title":"2 TRANSCRIPTOME ANALYSIS OF GRANULOSA CELLS FROM GROWING DOMINANT FOLLICLE REVEALS AGE-ASSOCIATED CHANGES AT THE TIME OF FOLLICLE SELECTION IN AGED BEEF CATTLE","year":2012,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"","keywords":"Biology; Transcriptome; Follicle; Folliculogenesis; Transgenesis; Reproductive technology; Ovarian follicle; Antral follicle; Internal medicine; Endocrinology; Andrology; Follicle-stimulating hormone receptor; Granulosa cell; Follicular phase; Cell biology; Gene expression; Follicle-stimulating hormone; Cryopreservation; Genetics; Luteinizing hormone; Embryo; Gene; Hormone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160742,0.0001049071,0.0002357785,0.00006329812,0.00008995814,0.000004855399,0.00006528868,0.00008996906,0.00003689317],"category_scores_gemma":[0.00005153207,0.00008635257,0.00005947684,0.0002918483,0.00007308966,0.000007916001,0.00004212536,0.00005097679,0.000001483204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003490487,"about_ca_system_score_gemma":0.00002480247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234167,"about_ca_topic_score_gemma":0.0005237525,"domain_scores_codex":[0.9989275,0.0001412042,0.0003105549,0.0003172821,0.0001308564,0.0001725591],"domain_scores_gemma":[0.9995624,0.00002195954,0.0001224609,0.0002041164,0.00004738091,0.000041672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001997755,0.000174987,0.06049606,0.00001539834,0.0002986122,3.472593e-8,0.002839235,0.0002221959,0.9339978,0.000004790961,0.00005259257,0.001698509],"study_design_scores_gemma":[0.0001762463,0.00002965483,0.5419411,0.000005510758,0.00007319252,2.042424e-7,0.00009431729,0.000003524694,0.4573041,0.00002292114,0.0002957576,0.00005344593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981254,0.001138546,0.0003225184,0.0000791315,0.00008915833,0.0001949185,0.00002345882,0.00000464828,0.00002227156],"genre_scores_gemma":[0.9982353,0.00002893818,0.001170728,0.00002596543,0.00002713334,0.00001794479,0.00009859612,0.000006398197,0.0003889214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.481445,"threshold_uncertainty_score":0.3521355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508150374296335,"score_gpt":0.2316719783915612,"score_spread":0.2165904746485979,"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."}}