{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005457907,0.0001295744,0.00012167,0.00003239077,0.00006278816,0.000007042934,0.0001046144,0.0001965603,0.0002116759],"category_scores_gemma":[0.00006796716,0.0001144741,0.00007755356,0.00005883269,0.00003133249,0.000009060683,0.00005174768,0.00006419723,0.000009541227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001990402,"about_ca_system_score_gemma":0.00007795064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002230876,"about_ca_topic_score_gemma":0.00002621283,"domain_scores_codex":[0.9988875,0.0001082827,0.0001956177,0.0001961776,0.0004048701,0.0002075797],"domain_scores_gemma":[0.9993219,0.000008166688,0.0001257203,0.0002952217,0.0001692635,0.00007967756],"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":[0.00005056332,0.00003516591,0.0004512561,0.0000123282,0.00004511967,2.026574e-7,0.0000291676,0.0001312896,0.9777495,0.00006933408,0.001219722,0.0202064],"study_design_scores_gemma":[0.0003601953,0.0001032375,0.002918083,0.00002115136,0.00009034463,0.00001456052,0.00001364163,0.0003693837,0.9918293,0.0007134122,0.003444265,0.0001224281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948744,0.002122435,0.001068834,0.00005676386,0.0006149437,0.0002853051,0.00008114884,0.00001067607,0.0008855387],"genre_scores_gemma":[0.9979978,0.00001936014,0.001068561,0.000110888,0.0004968509,0.00002172705,0.0001244592,0.00001876403,0.0001416522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008397,"threshold_uncertainty_score":0.4668116,"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."}}