{"id":"W4413021998","doi":"10.1002/mrd.70045","title":"microRNAs for qPCR Normalization Under Morphofunctional Conditions in Bovine Sperm (<i>Bos taurus</i>)","year":2025,"lang":"en","type":"article","venue":"Molecular Reproduction and Development","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Insemination Center of Quebec","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Centers for Disease Control and Prevention; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; microRNA; Normalization (sociology); Centralizer and normalizer; Semen; Sperm; Computational biology; Real-time polymerase chain reaction; Small RNA; Sperm motility; Semen quality; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001807213,0.0001286846,0.00009700921,0.0001406216,0.0001165679,0.00002543769,0.00004829235,0.00008929137,0.00002797646],"category_scores_gemma":[0.00006478599,0.0001445671,0.0000363656,0.0001535576,0.000044769,0.000007849364,0.00005218212,0.00004007883,0.000004127168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006560802,"about_ca_system_score_gemma":0.0001970135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007452189,"about_ca_topic_score_gemma":0.00001805656,"domain_scores_codex":[0.9989867,0.00003030071,0.0002570788,0.0005006282,0.00007725108,0.0001480108],"domain_scores_gemma":[0.999544,0.000003941736,0.00005934883,0.0002291044,0.0001297517,0.0000338953],"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":[0.0001328979,0.0001160203,0.002147252,0.00006330663,0.00007258441,0.000001064807,0.00003108605,0.001325838,0.9883081,0.001133579,0.004714872,0.00195343],"study_design_scores_gemma":[0.001116302,0.00003529421,0.04658635,0.0000318085,0.00001781999,0.00001784554,0.00005737631,0.00005707363,0.8036238,0.0004192166,0.1478367,0.0002004409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861398,0.001373809,0.135104,0.0008370071,0.0003426219,0.0006115667,0.0000150671,0.00002172333,0.000296197],"genre_scores_gemma":[0.9904531,0.00004605492,0.00486186,0.0006029194,0.00006712883,0.0001934575,0.001815903,0.00001873942,0.00194082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846843,"threshold_uncertainty_score":0.5895274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008757577955856638,"score_gpt":0.2532434487052105,"score_spread":0.2444858707493539,"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."}}