{"id":"W2463632187","doi":"10.1038/srep29509","title":"Circulating cell-free mature microRNAs and their target gene prediction in bovine metritis","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Washington State University","keywords":"Metritis; microRNA; Biology; Gene; Immune system; Bioinformatics; Cell biology; Andrology; Computational biology; Immunology; Medicine; Genetics; Ice calving","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005010339,0.0002362723,0.0004511865,0.0005582652,0.0001582867,0.0006713155,0.0001360692,0.0003423181,0.0005668344],"category_scores_gemma":[0.0006660888,0.0001956667,0.0002233018,0.0004689555,0.0001167921,0.0001433215,0.0002324872,0.0002488564,0.0002771866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193781,"about_ca_system_score_gemma":0.0001613525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007732098,"about_ca_topic_score_gemma":0.001178637,"domain_scores_codex":[0.999783,0.00003975322,0.00001972147,0.00007731486,0.00005106469,0.00002930548],"domain_scores_gemma":[0.9997806,0.00008563359,0.00007573241,0.000008594247,0.00002922358,0.00002027655],"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":[0.004545772,0.0001340656,0.1837776,0.000604101,0.0001674141,0.0005083282,0.0004108249,0.003684741,0.7223297,0.0003181899,0.0008178462,0.08270154],"study_design_scores_gemma":[0.0001527367,0.001555695,0.7260423,0.0001638122,0.0005618831,0.002602291,0.0006230791,0.08484887,0.1703859,0.0009228108,0.0120533,0.00008736043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866537,0.005122017,0.00630066,0.00004899516,0.0000148344,0.00002613826,0.000910042,0.00008489675,0.0008387143],"genre_scores_gemma":[0.9856576,0.001134727,0.0108853,0.00008157668,0.00001490003,0.0000529417,0.001500119,0.00001873653,0.0006540552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007732098,"threshold_uncertainty_score":0.002649784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141068168900112,"score_gpt":0.193164642519934,"score_spread":0.1817539608309328,"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."}}