{"id":"W2114403289","doi":"10.1109/tnb.2005.853646","title":"jViz.Rna —A Java Tool for RNA Secondary Structure Visualization","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Computer science; Visualization; Graph; Java; Data visualization; Variety (cybernetics); RNA; Theoretical computer science; File format; Nucleic acid structure; Biomolecular structure; Data structure; Data mining; Programming language; Artificial intelligence; Protein structure; Biology","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":[0.0001576717,0.0001631351,0.0001108056,0.00007368106,0.0003072882,0.00004821211,0.0002485969,0.0001670505,0.0001499542],"category_scores_gemma":[0.00001548061,0.0001522777,0.0001078301,0.0001612229,0.00007689358,0.00002122597,0.000001947913,0.00006639509,0.00001424402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002548006,"about_ca_system_score_gemma":0.0001106329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000342289,"about_ca_topic_score_gemma":0.00002813927,"domain_scores_codex":[0.9989157,0.00003820397,0.0001952801,0.0004272716,0.0001633802,0.0002601193],"domain_scores_gemma":[0.9994833,0.0000198107,0.00005139135,0.0003016309,0.0000756849,0.00006813893],"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":[0.00005303169,0.00004614057,0.000001363355,0.000009895674,0.000008779359,1.891741e-7,0.00002823006,0.0006428296,0.9480436,0.00007677306,0.0002363397,0.05085284],"study_design_scores_gemma":[0.0003435965,0.0003022555,0.0000248896,0.00001236552,0.00001368935,0.000007837845,0.00001565276,0.0004094169,0.9833534,0.00009127483,0.01521959,0.0002060704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3379147,0.00005479897,0.6606938,0.0001740184,0.000499174,0.0003531642,0.0001457757,0.0000259066,0.0001385981],"genre_scores_gemma":[0.9920383,0.00006668834,0.005666992,0.0006754401,0.0001414233,0.00005764596,0.0000142048,0.00002129146,0.001317998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6550269,"threshold_uncertainty_score":0.6209706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009141664207575468,"score_gpt":0.2527877396709912,"score_spread":0.2436460754634157,"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."}}