{"id":"W1982806760","doi":"10.1007/s00239-013-9588-6","title":"Pleiotropic Constraints, Expression Level, and the Evolution of miRNA Sequences","year":2013,"lang":"en","type":"article","venue":"Journal of Molecular Evolution","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Ontario Ministry of Research and Innovation","keywords":"Biology; Genetics; Caenorhabditis elegans; Caenorhabditis; Gene; microRNA; Regulation of gene expression; Human evolutionary genetics; Genome evolution; Evolutionary biology; Genome; Computational biology","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":[0.0009347181,0.0003242244,0.0004558318,0.0008270997,0.000424757,0.001144453,0.0005818742,0.0007291305,0.002160323],"category_scores_gemma":[0.001387849,0.0005489442,0.0003226613,0.00046662,0.0007194006,0.0007579741,0.0008951494,0.00132528,0.0006037255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004920782,"about_ca_system_score_gemma":0.0002653651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003599799,"about_ca_topic_score_gemma":0.0008238954,"domain_scores_codex":[0.9993027,0.0002079649,0.00006811669,0.0002237176,0.0001275269,0.00006986736],"domain_scores_gemma":[0.9987084,0.0007119915,0.0002006863,0.0001326394,0.0001175373,0.0001287476],"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":[0.0002359039,0.00001565608,0.006499614,0.00004386959,0.00002900327,0.0002592855,0.0001360456,0.0007142995,0.9815014,0.003000077,0.00005024802,0.007514577],"study_design_scores_gemma":[0.0002904358,0.001042668,0.4769911,0.0001315936,0.0004276815,0.005929517,0.00087379,0.03501332,0.4327431,0.01814373,0.02815282,0.00026027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902725,0.0008816274,0.005588815,0.000164469,0.00001531398,0.000005585253,0.0001780786,0.00005298923,0.002840661],"genre_scores_gemma":[0.995984,0.0003420196,0.002551291,0.0001011197,0.00001843151,0.000008692838,0.000173505,0.00008644284,0.0007345412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002160323,"threshold_uncertainty_score":0.007226944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007160598758508907,"score_gpt":0.2227675635088435,"score_spread":0.2156069647503346,"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."}}