{"id":"W4321377966","doi":"10.1186/s12917-023-03602-7","title":"Identification and profiling of microRNAs during yak’s testicular development","year":2023,"lang":"en","type":"article","venue":"BMC Veterinary Research","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Agricultural Science and Technology Innovation Program","keywords":"Biology; KEGG; microRNA; Wnt signaling pathway; Spermatogenesis; Gene; Gene expression profiling; Andrology; Gene expression; Deep sequencing; Reverse transcription polymerase chain reaction; Real-time polymerase chain reaction; Computational biology; Genetics; Transcriptome; Genome; Endocrinology; Medicine","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":[0.0001258557,0.0001434329,0.0003142282,0.0002806885,0.0002028778,0.0002765133,0.0001288081,0.0001444734,0.0006515808],"category_scores_gemma":[0.0001494631,0.0001353926,0.0002147476,0.0002657327,0.0001290048,0.0001462927,0.0001828576,0.0003616425,0.0002713548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380238,"about_ca_system_score_gemma":0.000166182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004520213,"about_ca_topic_score_gemma":0.0008969551,"domain_scores_codex":[0.9999121,0.000005319634,0.000007946227,0.00003276727,0.00002556285,0.00001631706],"domain_scores_gemma":[0.9998468,0.00002484423,0.00005093147,0.00001288386,0.00003491913,0.0000296015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001842853,0.00001171242,0.008497244,0.00006352014,0.00001842461,0.0001481813,0.00006010554,0.00005800416,0.987296,0.00005854177,0.00006599646,0.003537867],"study_design_scores_gemma":[0.00002159837,0.0003976171,0.4317227,0.00001940891,0.0001190374,0.001619488,0.0002595,0.001653944,0.5564165,0.0001140713,0.007626301,0.00002980936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922599,0.001822468,0.003339777,0.00002067675,0.00002764265,0.00001965354,0.001772131,0.00006046059,0.0006772624],"genre_scores_gemma":[0.9856329,0.001207392,0.005424251,0.0000916266,0.00001891381,0.00009352274,0.004077026,0.00007696199,0.003377475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006515808,"threshold_uncertainty_score":0.002179742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1880099544732059,"score_gpt":0.4011243818181896,"score_spread":0.2131144273449837,"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."}}