{"id":"W2103589755","doi":"10.1261/rna.031054.111","title":"<i>RNA-Puzzles</i> : A CASP-like evaluation of RNA three-dimensional structure prediction","year":2012,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministerstwo Edukacji i Nauki; National Cancer Institute; National Science Foundation; National Institutes of Health; National Institute of General Medical Sciences; Deutscher Akademischer Austauschdienst","keywords":"CASP; RNA; Nucleic acid structure; Biology; Pipeline (software); Computational biology; Protein structure prediction; Computer science; Protein structure; Genetics; Gene","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":[0.01372622,0.002723085,0.00174665,0.001768414,0.001775468,0.002137673,0.00415092,0.002474667,0.003819649],"category_scores_gemma":[0.02016924,0.0004240519,0.001271112,0.001640222,0.001672504,0.001780625,0.002327684,0.002538488,0.002120024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292149,"about_ca_system_score_gemma":0.001945268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006451302,"about_ca_topic_score_gemma":0.006856059,"domain_scores_codex":[0.9943002,0.002283597,0.0003261173,0.0005938077,0.002064857,0.0004313214],"domain_scores_gemma":[0.9827623,0.008732068,0.0005754137,0.00250537,0.004133254,0.00129161],"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":[0.007770314,0.00305235,0.04188033,0.001763619,0.002082483,0.00232728,0.000887107,0.4835593,0.03089922,0.007246197,0.2367783,0.1817536],"study_design_scores_gemma":[0.00168517,0.003881746,0.01127862,0.0000815351,0.0002507571,0.0008769052,0.0005642792,0.903538,0.05779841,0.005128294,0.01469303,0.0002233347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493011,0.00168753,0.07233223,0.002979694,0.001311018,0.0008528279,0.01413862,0.03655324,0.02084371],"genre_scores_gemma":[0.8162962,0.0002944376,0.1363759,0.000911766,0.0001451456,0.0004526032,0.03907084,0.003025641,0.003427416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372622,"threshold_uncertainty_score":0.07259208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888252520174995,"score_gpt":0.2538043796092302,"score_spread":0.2349218544074803,"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."}}