{"id":"W2220041087","doi":"10.5713/ajas.15.0525","title":"Characterizing Milk Production Related Genes in Holstein Using RNA-seq","year":2015,"lang":"en","type":"article","venue":"Asian-Australasian Journal of Animal Sciences","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Rural Development Administration","keywords":"RNA-Seq; Gene; Production (economics); Biology; Computational biology; RNA; Genetics; Transcriptome; Gene expression","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":[0.0007010745,0.0004733052,0.0008113895,0.0006644777,0.000422742,0.000745556,0.0003902877,0.0004580467,0.001279916],"category_scores_gemma":[0.000553233,0.0001713876,0.000917629,0.0009435451,0.000229714,0.0001638525,0.0003229586,0.0003660624,0.0003716463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290928,"about_ca_system_score_gemma":0.0004877978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004658107,"about_ca_topic_score_gemma":0.008337816,"domain_scores_codex":[0.9996319,0.00003454121,0.00001293424,0.0002079411,0.00005192548,0.00006065745],"domain_scores_gemma":[0.9997008,0.0001763736,0.00004714889,0.00002067789,0.00003638113,0.00001864447],"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":[0.001957204,0.0001762073,0.2508759,0.0009500752,0.001259271,0.0005335183,0.0004353893,0.01747567,0.6641241,0.0007259025,0.00244432,0.05904241],"study_design_scores_gemma":[0.0001085673,0.0004928525,0.8524866,0.0001146522,0.001361821,0.0003676733,0.0004693829,0.07730651,0.05343179,0.001970449,0.01179482,0.00009494423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939667,0.003219018,0.02650384,0.0001357227,0.00004030272,0.0000598389,0.02812225,0.0005394339,0.00171257],"genre_scores_gemma":[0.8952619,0.001653304,0.03915916,0.0006288824,0.0000365063,0.0003743354,0.05836646,0.0002636422,0.004255867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004658107,"threshold_uncertainty_score":0.009261966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04415006843411975,"score_gpt":0.2928981848666382,"score_spread":0.2487481164325184,"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."}}