{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002029037,0.0001488581,0.0001907134,0.0001270975,0.00003101303,0.000008051074,0.0001587467,0.0002481319,0.0001637634],"category_scores_gemma":[0.0001401592,0.0001196701,0.0001021133,0.000124575,0.00007674695,0.00001297985,0.0001402392,0.0001143812,0.00002639401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007295398,"about_ca_system_score_gemma":0.0001178422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004328185,"about_ca_topic_score_gemma":0.0001235797,"domain_scores_codex":[0.9986879,0.0001464997,0.0003778008,0.0004237058,0.00009068792,0.0002733572],"domain_scores_gemma":[0.999391,0.0000359878,0.000173815,0.000260973,0.0001015966,0.00003664621],"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":[0.0002734978,0.00003440417,0.007924195,0.00003825744,0.00003743416,0.000001427954,0.00002438719,0.00003134245,0.9825885,0.0001152272,0.0000423952,0.008888939],"study_design_scores_gemma":[0.0008208335,0.0002983507,0.02433644,0.00008941749,0.000009421016,0.0000292906,0.00004155752,0.0001383531,0.9732295,0.0001532514,0.0007048664,0.0001487533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6507566,0.0002824531,0.3481691,0.00008441965,0.0003623473,0.0002248899,0.00001098698,0.000006990979,0.0001022321],"genre_scores_gemma":[0.9974313,0.0004403252,0.001491569,0.0000419592,0.0002522415,0.00006555529,0.0001115428,0.00002236896,0.0001430776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3466775,"threshold_uncertainty_score":0.4880007,"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."}}