{"id":"W2146357275","doi":"10.1093/nar/gkf540","title":"RNA canonical and non-canonical base pairing types: a recognition method and complete repertoire","year":2002,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal; Université du Québec à Montréal","funders":"","keywords":"Base pair; Pairing; RNA; Biology; Bipartite graph; Transfer RNA; Canonical form; Probabilistic logic; Computational biology; Combinatorics; Algorithm; Computer science; Genetics; DNA; Physics; Mathematics; Graph; Gene; Artificial intelligence; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269843,0.0001369401,0.0001809001,0.00007460825,0.0002691992,0.00007198822,0.0001601764,0.0002333574,0.0003553708],"category_scores_gemma":[0.0004671261,0.0001242985,0.00004880855,0.0001196378,0.0002007298,0.00000808936,0.0002684491,0.0002754257,0.00005511311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002097783,"about_ca_system_score_gemma":0.00004665228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007613981,"about_ca_topic_score_gemma":0.00003290143,"domain_scores_codex":[0.998155,0.0004303238,0.0001894837,0.0005272407,0.000288684,0.0004092894],"domain_scores_gemma":[0.9991448,0.0001331861,0.00003108941,0.0003509007,0.0001226577,0.0002173454],"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":[0.00008899727,0.00003943259,0.0001972295,0.00003584675,0.00002953702,0.00002004486,0.00007348906,5.057998e-7,0.8577952,0.00004565202,0.001174384,0.1404997],"study_design_scores_gemma":[0.002848436,0.002791159,0.00312046,0.0002922139,0.00006123949,0.000392644,0.0004662784,0.007903849,0.8577687,0.002843639,0.1204872,0.001024207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843716,0.001706959,0.003366255,0.0013796,0.0000503543,0.0003997475,0.00002841577,0.00001980855,0.008677281],"genre_scores_gemma":[0.9841577,0.0009666387,0.01339862,0.0001867047,0.0001897903,0.00005005419,0.00001411289,0.00003318389,0.001003209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1394755,"threshold_uncertainty_score":0.5068745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08777600870372113,"score_gpt":0.3352255728846006,"score_spread":0.2474495641808795,"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."}}