{"id":"W4293173736","doi":"10.1007/s10142-022-00893-1","title":"Unrevealing functional candidate genes for bovine fertility through RNA sequencing meta-analysis and regulatory elements networks of co-expressed genes and lncRNAs","year":2022,"lang":"en","type":"review","venue":"Functional & Integrative Genomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Gene; Genetics; Candidate gene; Gene regulatory network; Computational biology; Regulatory sequence; Regulation of gene expression; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009192008,0.0006010854,0.001819844,0.0002447329,0.0003588321,0.00005294423,0.0002251204,0.000386155,0.0003596655],"category_scores_gemma":[0.0001209274,0.0005036435,0.001466223,0.0003596492,0.0002141638,0.00001407811,0.0003343127,0.0004283576,5.863828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688659,"about_ca_system_score_gemma":0.0008423721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001539851,"about_ca_topic_score_gemma":0.00019588,"domain_scores_codex":[0.9967447,0.0004189935,0.0009330236,0.001102813,0.0004077874,0.0003927001],"domain_scores_gemma":[0.998094,0.0002054229,0.0006883182,0.0005264798,0.0003606031,0.0001251584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003593319,0.0002899093,0.00003629912,0.006343882,0.5509252,0.00001588115,0.0002320407,0.02267744,0.1864989,0.002085017,0.002941438,0.2243606],"study_design_scores_gemma":[0.0005888549,0.0004570777,0.00002047881,0.00007136685,0.06188499,0.00002442522,0.0001728325,0.001288337,0.008862096,0.0003013215,0.9256575,0.0006707893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006370971,0.8296686,0.1664713,0.00001216244,0.0001936225,0.0009603983,0.001991733,0.000008742217,0.00005627202],"genre_scores_gemma":[0.001020016,0.9838223,0.002348176,0.00008732339,0.0002954954,0.000851308,0.01059976,0.00009312853,0.0008824297],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.922716,"threshold_uncertainty_score":0.9997415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032690414003976,"score_gpt":0.3476085516441548,"score_spread":0.2443395102437572,"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."}}