{"id":"W4323067007","doi":"10.1261/rna.079148.122","title":"Computational design and experimental verification of pseudoknotted ribozymes","year":2023,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Armand-Frappier Foundation","keywords":"Pseudoknot; Ribozyme; Biology; Computational biology; RNA; Nucleic acid structure; Stem-loop; Base pair; Ligase ribozyme; Structural motif; Riboswitch; Synthetic biology; Nucleic acid secondary structure; Genetics; Non-coding RNA; Gene; 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":[0.001880802,0.0005332535,0.0007779714,0.00026151,0.0004036934,0.0006689822,0.001161709,0.0008236388,0.001369926],"category_scores_gemma":[0.003493735,0.0003928948,0.0005291798,0.0003091154,0.000671425,0.000477696,0.000408025,0.0007936406,0.0002421377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008040269,"about_ca_system_score_gemma":0.0008043533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005803248,"about_ca_topic_score_gemma":0.0005466919,"domain_scores_codex":[0.999157,0.0002330563,0.00007880136,0.0001768001,0.0002593596,0.00009489254],"domain_scores_gemma":[0.9976569,0.001455293,0.0001842261,0.0002303546,0.0004055732,0.000067621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003555453,0.000535613,0.002370769,0.0006422236,0.00005519199,0.0002927759,0.0001183891,0.8437618,0.1187374,0.01650501,0.0003548035,0.01627052],"study_design_scores_gemma":[0.00009780687,0.0004629219,0.0002759231,0.00001204829,0.00001233093,0.00003318752,0.00002287656,0.8867511,0.1100891,0.001126521,0.001101624,0.00001444814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366895,0.0003992861,0.1569409,0.0001667988,0.00008313428,0.0002208579,0.000498649,0.0004426285,0.004558168],"genre_scores_gemma":[0.8482194,0.000192698,0.1500206,0.00003652155,0.000008852473,0.0003154463,0.0004776095,0.00006167831,0.0006671774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001880802,"threshold_uncertainty_score":0.009946764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017542229606374,"score_gpt":0.2660041005076068,"score_spread":0.2458286782115431,"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."}}