{"id":"W2559838807","doi":"10.1186/s12915-016-0325-7","title":"Functional characterisation of long intergenic non-coding RNAs through genetic interaction profiling in Saccharomyces cerevisiae","year":2016,"lang":"en","type":"article","venue":"BMC Biology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Research Council","keywords":"Biology; Saccharomyces cerevisiae; Computational biology; Genetics; Gene; Telomere; Intergenic region; Genome; Transcriptome; RNA; Non-coding RNA; Gene expression profiling; Small nucleolar RNA; Genetic screen; Gene expression; Phenotype","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":[0.0001536323,0.0002800051,0.0001588019,0.0004568033,0.0001247224,0.0003039597,0.0001551534,0.0001933429,0.0004729919],"category_scores_gemma":[0.0001935419,0.00008380482,0.0002922041,0.0003402614,0.0001304581,0.00009723754,0.0001913842,0.0002611321,0.0003435372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201716,"about_ca_system_score_gemma":0.0001283505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007042757,"about_ca_topic_score_gemma":0.001311923,"domain_scores_codex":[0.9998897,0.00001082252,0.00001370955,0.00003277841,0.00004186597,0.00001108236],"domain_scores_gemma":[0.9998227,0.0000431484,0.00006125172,0.00001769969,0.00002895952,0.00002630853],"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":[0.00003157048,0.000007698942,0.0009732116,0.00002718536,0.000007558554,0.00002553388,0.000009677066,0.0000778874,0.997807,0.00002067643,0.00001295656,0.0009990679],"study_design_scores_gemma":[0.000007251731,0.0001558982,0.03331389,0.000005830476,0.00006052237,0.0002888567,0.00005626417,0.003308306,0.9605909,0.00008069799,0.002121332,0.00001021155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851328,0.0007560556,0.01023178,0.00004392294,0.000009150655,0.00003400718,0.002852672,0.000189397,0.0007502435],"genre_scores_gemma":[0.9798784,0.0004440564,0.01362985,0.00005778327,0.000003706859,0.00004258352,0.004923516,0.00008660492,0.00093338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007042757,"threshold_uncertainty_score":0.001597404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980308651654704,"score_gpt":0.3059735245262796,"score_spread":0.2761704380097326,"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."}}