{"id":"W4280513362","doi":"10.3389/fendo.2022.874371","title":"Characteristics of miRNAs Present in Bovine Sperm and Associations With Differences in Fertility","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; CReATe Fertility Centre; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Biology; Fertility; Sperm; Andrology; Male fertility; Spermatogenesis; microRNA; Sire; Genetics; Population; Sperm motility; Gene; Endocrinology; Medicine","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":[0.00007152541,0.00007422285,0.0001864906,0.000125897,0.00002047227,0.000002672932,0.0000973152,0.00003951274,0.00001219433],"category_scores_gemma":[0.0000469082,0.00007698951,0.00001534214,0.0001110342,0.00008847586,0.000002795804,0.0001279762,0.0001061821,7.267587e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006555709,"about_ca_system_score_gemma":0.00004822939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464508,"about_ca_topic_score_gemma":0.0002926769,"domain_scores_codex":[0.9991915,0.0001375194,0.0002123584,0.0002079249,0.00006924973,0.000181434],"domain_scores_gemma":[0.9997282,0.00001031234,0.00008630729,0.0001401151,0.00001589543,0.00001916956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000219726,0.0001422409,0.9926785,0.00001319715,0.00001557233,0.00001152597,0.00009014431,0.0000275741,0.005785261,0.00003140005,0.0001177639,0.0008671547],"study_design_scores_gemma":[0.0006779188,0.0001452309,0.9961175,0.000004436115,0.000005173828,0.000004263165,0.0001381948,0.0002156404,0.001994961,0.0001356138,0.0004892013,0.00007186852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984928,0.0008194892,0.0001345335,0.0001457465,0.0001038387,0.0001727638,0.00006645376,0.00000239194,0.00006201587],"genre_scores_gemma":[0.9992607,0.0000901212,0.0004182169,0.00001830678,0.00001286161,0.00004758304,0.0001068209,0.000005898882,0.000039465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0037903,"threshold_uncertainty_score":0.3139541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009207491138361225,"score_gpt":0.2252480354881615,"score_spread":0.2160405443498003,"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."}}