{"id":"W3170495886","doi":"10.1186/s12864-021-07757-1","title":"SnoRNA copy regulation affects family size, genomic location and family abundance levels","year":2021,"lang":"en","type":"article","venue":"BMC Genomics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Faculty of Medicine and Health, University of Sydney; Natural Sciences and Engineering Research Council of Canada; Compute Canada; Universities Space Research Association; Université de Sherbrooke","keywords":"Small nucleolar RNA; Biology; Genetics; Gene duplication; Gene family; Genome; Gene; Long non-coding RNA; Computational biology; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171113,0.0001321307,0.0001181257,0.00001811634,0.0001174186,0.00005805431,0.0001011175,0.0001254517,0.000007980975],"category_scores_gemma":[0.00004804089,0.0001511818,0.00004403628,0.00009658353,0.00005644051,0.000006473964,0.00006873172,0.00005302863,0.00001645432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005834611,"about_ca_system_score_gemma":0.0003296996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001432024,"about_ca_topic_score_gemma":0.00005888871,"domain_scores_codex":[0.9991468,0.00005127098,0.0001666798,0.0003933493,0.000073666,0.0001682158],"domain_scores_gemma":[0.9992779,0.0000195358,0.00009312493,0.0004081547,0.0001373147,0.00006398548],"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":[0.00002886631,0.0000199066,0.002096609,0.00002749366,0.00001733263,5.638683e-7,0.00004202457,0.001216151,0.9920132,0.0003105286,0.0008718405,0.00335549],"study_design_scores_gemma":[0.0007887772,0.00007373186,0.6526455,0.00001701542,0.00003218688,0.00001719071,0.0002110529,0.001004806,0.3010787,0.0003456362,0.04345022,0.0003352286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569988,0.005768961,0.03597211,0.00007064578,0.0001706285,0.0001672424,0.00002869371,0.00001162571,0.0008113114],"genre_scores_gemma":[0.9889761,0.001093407,0.007531328,0.0003762657,0.0002342785,0.00002622972,0.0001172937,0.00002718183,0.001617894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909345,"threshold_uncertainty_score":0.6165015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072250666830493,"score_gpt":0.2479251367237087,"score_spread":0.2272026300554038,"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."}}