{"id":"W2765672734","doi":"10.1186/s12958-017-0306-x","title":"Gene expression profiling of upregulated mRNAs in granulosa cells of bovine ovulatory follicles following stimulation with hCG","year":2017,"lang":"en","type":"article","venue":"Reproductive Biology and Endocrinology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Downregulation and upregulation; Stimulation; Gene expression profiling; Andrology; Ovarian follicle; Gene expression; Granulosa cell; Biology; Cell biology; Messenger RNA; Endocrinology; Oocyte; Internal medicine; Gene; Embryo; Follicular phase; Medicine; 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":[0.0002627526,0.0001874174,0.0004965955,0.0000469509,0.0002045394,0.000005266661,0.0002561609,0.0001545123,0.00001001986],"category_scores_gemma":[0.0002009419,0.0000851894,0.0000676143,0.00009929886,0.0008148663,0.0001758982,0.0001936375,0.0001672807,0.000001130612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001442206,"about_ca_system_score_gemma":0.00001250547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003335059,"about_ca_topic_score_gemma":0.00002227725,"domain_scores_codex":[0.9981973,0.0002374009,0.0003529189,0.0008305042,0.00006869577,0.0003131879],"domain_scores_gemma":[0.9988923,0.0001381015,0.000461418,0.0003617901,0.0001117602,0.00003460671],"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":[0.0005271354,0.00007931831,0.2622655,0.00001052121,0.0000438958,0.000003296809,0.00009919919,0.0000603197,0.7346294,0.0003385641,0.000001874549,0.001940924],"study_design_scores_gemma":[0.0002692388,0.0007416297,0.4789988,0.00002034667,0.00001352289,0.000009006246,0.00008458832,0.000005783255,0.5170078,0.002753071,0.000009774138,0.00008653152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983087,0.0005944945,0.000008146229,0.0002773503,0.0002398746,0.000380839,0.00001676314,0.00002219358,0.0001516282],"genre_scores_gemma":[0.9985295,0.00006811598,0.001132717,0.000006267316,0.0001852843,0.00002280278,0.00002963279,0.000002285083,0.00002339488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176216,"threshold_uncertainty_score":0.3473923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259725749061652,"score_gpt":0.2671610331840275,"score_spread":0.2445637756934109,"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."}}