{"id":"W2804399247","doi":"10.1371/journal.pone.0197206","title":"Core non-coding RNAs of Piscirickettsia salmonis","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Colorado Power Electronics Center, University of Colorado Boulder; Comisión Nacional de Investigación Científica y Tecnológica; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Biology; Non-coding RNA; Genetics; Genome; RNA; Intergenic region; Gene; 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":[0.0001188574,0.0005330967,0.0003718116,0.0004908663,0.0003684851,0.0002467083,0.0001220932,0.0002166692,0.0006091981],"category_scores_gemma":[0.0004457569,0.000152898,0.000339131,0.0003523652,0.0002043066,0.0002056491,0.0002952314,0.0003421638,0.0004083735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621588,"about_ca_system_score_gemma":0.0005590232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208806,"about_ca_topic_score_gemma":0.003581506,"domain_scores_codex":[0.9998488,0.000009723558,0.00001161761,0.00005453057,0.00004999165,0.00002540765],"domain_scores_gemma":[0.9996853,0.00005639872,0.0001016904,0.00002019915,0.00008711828,0.00004935537],"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":[0.0001398339,0.00001435223,0.00488445,0.0001325662,0.00000867509,0.0002228555,0.00007518566,0.0003039927,0.9873211,0.0001191189,0.0001243379,0.006653462],"study_design_scores_gemma":[0.00003095955,0.001007743,0.2600861,0.00009379275,0.000185055,0.00228545,0.0003395505,0.0125859,0.7043994,0.0009446255,0.01796806,0.000073237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737681,0.002355038,0.01799051,0.00009036612,0.00004334164,0.0001158082,0.002855366,0.0003049694,0.002476454],"genre_scores_gemma":[0.9684005,0.0008504221,0.01850937,0.000105771,0.00003142533,0.00008169647,0.009837917,0.00007840266,0.002104352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00208806,"threshold_uncertainty_score":0.004151821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0725099204362877,"score_gpt":0.2581882610243235,"score_spread":0.1856783405880358,"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."}}