{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310304,0.001366813,0.001354487,0.002487895,0.0007675389,0.002092285,0.003009067,0.001272531,0.03869829],"category_scores_gemma":[0.002854025,0.001294488,0.001406712,0.001125284,0.0003211973,0.002122485,0.001874674,0.002472068,0.01701619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133374,"about_ca_system_score_gemma":0.000881696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128556,"about_ca_topic_score_gemma":0.002299015,"domain_scores_codex":[0.9992802,0.00009130448,0.00008017037,0.0001350271,0.0003387866,0.00007460787],"domain_scores_gemma":[0.998942,0.0005712596,0.0001086402,0.0001056761,0.0001741556,0.00009838251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007168772,0.0002947189,0.002089026,0.002230723,0.0002496362,0.001013481,0.0005353955,0.009267639,0.09381999,0.01792461,0.4645305,0.4073274],"study_design_scores_gemma":[0.0008470714,0.0002520717,0.004291083,0.0004476567,0.0001484097,0.001944284,0.0001237495,0.1688683,0.08037537,0.03043359,0.7118233,0.0004451531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002032543,0.0003853441,0.5507709,0.0002360394,0.0002272885,0.0001810983,0.009613847,0.4301825,0.006370591],"genre_scores_gemma":[0.0352691,0.001362833,0.8113055,0.0007066094,0.0002363343,0.001213426,0.03450771,0.09545919,0.01993943],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03869829,"threshold_uncertainty_score":0.1294587,"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."}}