{"id":"W2900160090","doi":"10.1038/s41467-018-07224-8","title":"Transcriptome-wide identification of transient RNA G-quadruplexes in human cells","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche; Conseil régional de Bourgogne-Franche-Comté; University of British Columbia; Université de Bourgogne; European Commission","keywords":"Transcriptome; Identification (biology); RNA; Computational biology; Biology; Transient (computer programming); Gene; Cell biology; Gene expression; Genetics; Computer science","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":[0.000185606,0.0001073666,0.0002668638,0.0003005559,0.0001816651,0.0003632215,0.00009469512,0.0003359493,0.001034145],"category_scores_gemma":[0.0003002208,0.0001496495,0.0001631556,0.00031906,0.0001548856,0.0001082486,0.0001768266,0.0002426554,0.0005455872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619658,"about_ca_system_score_gemma":0.0001699006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557791,"about_ca_topic_score_gemma":0.0008724058,"domain_scores_codex":[0.9998333,0.00002584258,0.000008041116,0.00007291284,0.00004029103,0.00001963755],"domain_scores_gemma":[0.9998879,0.0000424757,0.00001897728,0.00001562202,0.00002007284,0.00001500559],"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":[0.0001938709,0.00001309328,0.005587814,0.00005273173,0.00001877656,0.00006661004,0.0000823393,0.0003859279,0.9875498,0.0001188939,0.000367477,0.005562646],"study_design_scores_gemma":[0.00004445498,0.0004269554,0.1350732,0.00002368514,0.00010492,0.0008487635,0.0004046074,0.008560452,0.8415583,0.0006175044,0.01230889,0.00002834548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717759,0.001496353,0.018066,0.0001786727,0.00002109419,0.0000769274,0.005548487,0.0003432556,0.002493365],"genre_scores_gemma":[0.9770075,0.00092701,0.01237287,0.0002966068,0.00001952765,0.0001526897,0.007186824,0.00007300745,0.00196389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001034145,"threshold_uncertainty_score":0.003459573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046352864221738,"score_gpt":0.2860882825109967,"score_spread":0.2756247538687793,"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."}}