{"id":"W2745257241","doi":"10.1093/bioinformatics/btx498","title":"Motif independent identification of potential RNA G-quadruplexes by G4RNA screener","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"G-quadruplex; RNA; Computational biology; Nucleic acid structure; Computer science; Motif (music); Artificial intelligence; Biology; Genetics; Gene; DNA; Physics","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":[0.0007997939,0.0009242187,0.0006944951,0.0009397281,0.0002458624,0.0004551349,0.0007765157,0.000727559,0.003601036],"category_scores_gemma":[0.002339495,0.0002083905,0.0005193544,0.0005236457,0.0002625125,0.0005415383,0.000470754,0.0004502654,0.0009814173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003348754,"about_ca_system_score_gemma":0.0003389108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000967703,"about_ca_topic_score_gemma":0.00136261,"domain_scores_codex":[0.9995494,0.0001012068,0.00004481564,0.0001520104,0.0001077742,0.00004483171],"domain_scores_gemma":[0.998936,0.0005665845,0.0001691428,0.00008268369,0.00019062,0.00005502272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002267901,0.0004968146,0.03392217,0.001159316,0.0003123598,0.0005479814,0.0001758927,0.0835325,0.704076,0.001327763,0.005090396,0.1670908],"study_design_scores_gemma":[0.00007101604,0.0006874074,0.01380582,0.00003280429,0.0001003929,0.0002607505,0.00006203469,0.5912476,0.3896672,0.0007715673,0.003225402,0.00006805606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8276463,0.0004256339,0.1403538,0.0002151651,0.00005914198,0.0003710866,0.008149189,0.01958726,0.003192397],"genre_scores_gemma":[0.7891824,0.0002190789,0.1953246,0.0002123911,0.00001508727,0.0004470097,0.01095595,0.0005737512,0.003069789],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003601036,"threshold_uncertainty_score":0.01204669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007000891683450851,"score_gpt":0.2365385259042153,"score_spread":0.2295376342207644,"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."}}