{"id":"W3189993501","doi":"10.21203/rs.3.rs-779339/v1","title":"Characterization of microRNA, mRNA, and Protein Expression in Large and Cystic Bovine Follicles","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Messenger RNA; microRNA; Protein expression; Cell biology; Biology; Molecular biology; Computational biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002155625,0.0001399018,0.0002974841,0.0004804062,0.0002551202,0.0005988491,0.0001385056,0.0003513678,0.001128844],"category_scores_gemma":[0.0004808355,0.000162876,0.0002061045,0.0002717908,0.0003316579,0.0002368919,0.0001697354,0.0003586069,0.0003826107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215384,"about_ca_system_score_gemma":0.000180137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414512,"about_ca_topic_score_gemma":0.001285315,"domain_scores_codex":[0.9998469,0.00001486687,0.000007684166,0.00006337262,0.00002851487,0.00003868685],"domain_scores_gemma":[0.9995921,0.0001507065,0.00007682241,0.00003193011,0.00006418973,0.00008418805],"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":[0.0003040993,0.00001433236,0.004146958,0.0000353914,0.000009115887,0.00009798942,0.0001179902,0.00004441892,0.9934165,0.00009658374,0.00004727414,0.001669264],"study_design_scores_gemma":[0.00007734075,0.0007976325,0.5623222,0.00004654138,0.0001417468,0.002493679,0.001311802,0.002898955,0.4178677,0.0005621043,0.01143646,0.00004388675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922209,0.001600486,0.003407873,0.00005573147,0.00002725356,0.00001767262,0.00129705,0.00003842969,0.001334553],"genre_scores_gemma":[0.9907258,0.0006079876,0.003190402,0.00009277549,0.00002256527,0.0000548625,0.002229917,0.00005452934,0.00302105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414512,"threshold_uncertainty_score":0.003776371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966951742947036,"score_gpt":0.3098431523301027,"score_spread":0.2901736349006323,"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."}}