{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006034177,0.0008978906,0.0007278593,0.0005430052,0.000518261,0.0008743623,0.0007752916,0.001200602,0.004702287],"category_scores_gemma":[0.002029192,0.0004599375,0.001023907,0.0003927536,0.0004657897,0.000563181,0.000630622,0.000897998,0.001194037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005647808,"about_ca_system_score_gemma":0.001135269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003076804,"about_ca_topic_score_gemma":0.00256091,"domain_scores_codex":[0.9996386,0.00008166486,0.00002144767,0.00009385791,0.0001180562,0.00004640909],"domain_scores_gemma":[0.9993154,0.000287206,0.00005410117,0.0001219954,0.0001159067,0.0001054017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001353381,0.0003952697,0.02271384,0.0004829908,0.000273294,0.002492326,0.0003874803,0.6487222,0.1506982,0.01415581,0.01528497,0.1430402],"study_design_scores_gemma":[0.00009563078,0.0002100855,0.004542014,0.00002761538,0.00003999839,0.0002953596,0.0001640943,0.9077876,0.07167965,0.00801365,0.007084322,0.00005996058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7582557,0.0007469813,0.2235072,0.001017962,0.0002253796,0.0002524269,0.003982738,0.005485179,0.006526391],"genre_scores_gemma":[0.8153868,0.000265642,0.1715396,0.0001523096,0.00002499378,0.0001556268,0.007949365,0.0004810613,0.00404452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004702287,"threshold_uncertainty_score":0.01573074,"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."}}