{"id":"W4413991818","doi":"10.1002/prot.70043","title":"Functional Relevance of <scp>CASP16</scp> Nucleic Acid Predictions as Evaluated by Structure Providers","year":2025,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Key Research and Development Program of China; Leibniz-Gemeinschaft; Natural Sciences and Engineering Research Council of Canada; Stanford Bio-X; Office of Science; National Institutes of Health; Novo Nordisk Fonden; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; Argonne National Laboratory; Aarhus Universitet; European Commission; U.S. Department of Energy; National Institute of Allergy and Infectious Diseases; Howard Hughes Medical Institute; Villum Fonden; National Institute of General Medical Sciences; Novo Nordisk; Common Fund; Gottfried Wilhelm Leibniz Universität Hannover; National Science Foundation","keywords":"Nucleic acid; Nucleic acid structure; Computational biology; Protein secondary structure; Structural motif; RNA; Base pair; DNA; Nucleic acid secondary structure; Chemistry; Biological system; Biology; Biochemistry","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":[0.01921143,0.00165373,0.0008869776,0.001965118,0.0007252787,0.003448456,0.001185653,0.001380658,0.008653528],"category_scores_gemma":[0.05227927,0.0002720311,0.0009506675,0.0009089754,0.001217828,0.001748108,0.001546858,0.001148982,0.003124084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242848,"about_ca_system_score_gemma":0.001323087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686328,"about_ca_topic_score_gemma":0.00144522,"domain_scores_codex":[0.991001,0.003526781,0.0007387103,0.0008739465,0.003261221,0.0005983046],"domain_scores_gemma":[0.9650316,0.01901388,0.002673538,0.004837937,0.007261849,0.001181123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008058389,0.0005467552,0.3760583,0.001410584,0.001718911,0.002378155,0.0006498705,0.2359518,0.02737229,0.01284603,0.1071819,0.225827],"study_design_scores_gemma":[0.0007920699,0.001750044,0.1222137,0.0003895999,0.0004810802,0.003927074,0.0009840248,0.7445033,0.07139361,0.02532873,0.02801555,0.0002212269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856624,0.003041239,0.05054888,0.004389437,0.000742296,0.0003275443,0.01271699,0.009572403,0.03299874],"genre_scores_gemma":[0.9767895,0.0002195773,0.009087407,0.0002369483,0.00005457519,0.00004878419,0.01187242,0.0004647754,0.001225887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01921143,"threshold_uncertainty_score":0.1016009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005747314496420494,"score_gpt":0.2132509857266848,"score_spread":0.2075036712302643,"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."}}