{"id":"W3022554208","doi":"10.1261/rna.075341.120","title":"RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers","year":2020,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Międzynarodowy Instytut Biologii Molekularnej i Komórkowej w Warszawie; Politechnika Poznańska; Fundacja na rzecz Nauki Polskiej; National Center for Advancing Translational Sciences; Wellcome Trust; Agence Nationale de la Recherche; National Natural Science Foundation of China; National Cancer Institute; National Institutes of Health; Cancer Research UK; National Institute of General Medical Sciences; Wellcome","keywords":"Ribozyme; Riboswitch; RNA; Computational biology; Stacking; Nucleic acid structure; Biology; Aptamer; Genetics; Non-coding RNA; Physics; Gene","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":[0.0000413108,0.0001017109,0.0001207234,0.00001511194,0.00005401196,0.0000144983,0.0001004826,0.0000877334,0.00005894596],"category_scores_gemma":[0.00005518445,0.00009123523,0.00004698373,0.00004590666,0.00005345904,0.000003733343,0.00005811082,0.00005252292,0.000001950334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002999776,"about_ca_system_score_gemma":0.00002734494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001702567,"about_ca_topic_score_gemma":0.00001374429,"domain_scores_codex":[0.9994326,0.00003490181,0.0001235529,0.0002050911,0.00008664801,0.0001172082],"domain_scores_gemma":[0.9996641,0.000007716027,0.00006536167,0.0001477795,0.00003151385,0.00008352759],"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":[0.00003777108,0.000006219509,0.000218713,0.00002293995,0.00005374122,0.00000154783,0.00006959377,0.00003862251,0.9908922,0.0001830389,0.000552145,0.007923429],"study_design_scores_gemma":[0.0003030398,0.0002099946,0.0004513891,0.00001384835,0.00003901979,0.000009949075,0.0001107103,0.0002260014,0.9831971,0.00043554,0.01487339,0.0001300077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910473,0.001190973,0.005537158,0.0006674694,0.0001135672,0.0001575088,0.0001173663,0.0000152959,0.001153339],"genre_scores_gemma":[0.996266,0.0002181454,0.002819348,0.0002329607,0.0002409329,0.000005414785,0.00002245946,0.00001420357,0.0001805528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01432125,"threshold_uncertainty_score":0.3720465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443885706099118,"score_gpt":0.2324938624428373,"score_spread":0.2180550053818461,"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."}}