{"id":"W2341424800","doi":"10.1093/nar/gkv1477","title":"A comprehensive comparison of general RNA–RNA interaction prediction methods","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Michael Smith Health Research BC","keywords":"RNA; Biology; Computational biology; Protein secondary structure; Nucleic acid secondary structure; Nucleic acid structure; Transfer RNA; Non-coding RNA; Ribosomal RNA; Transcriptome; Genetics; Bioinformatics; Gene; Gene expression; 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":[0.006558009,0.002380588,0.001578246,0.004471669,0.0009283043,0.001346085,0.002317204,0.001318604,0.002670136],"category_scores_gemma":[0.00847695,0.0005507974,0.002564592,0.004151589,0.0003348326,0.001967787,0.001594413,0.001145137,0.001820336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007261269,"about_ca_system_score_gemma":0.001638191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435778,"about_ca_topic_score_gemma":0.004972044,"domain_scores_codex":[0.9947057,0.001415246,0.0006179434,0.001016684,0.001938749,0.000305638],"domain_scores_gemma":[0.992431,0.00493907,0.0002985924,0.0007368862,0.001345902,0.0002484561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00217293,0.0009665657,0.05659382,0.003717691,0.003301,0.0002917797,0.0002593458,0.1996536,0.02285111,0.002739588,0.0288368,0.6786157],"study_design_scores_gemma":[0.0002655805,0.001612599,0.06080257,0.0005525494,0.001088056,0.001090149,0.0003574693,0.8500981,0.03596685,0.007354041,0.0404823,0.000329702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4959048,0.05106423,0.3687423,0.001194716,0.0005510058,0.0009573128,0.03121067,0.0309424,0.01943261],"genre_scores_gemma":[0.4537173,0.01605495,0.4259356,0.0005167664,0.0001559461,0.0007411143,0.0956181,0.002671538,0.004588655],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006558009,"threshold_uncertainty_score":0.03468251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467006754149399,"score_gpt":0.4509606103228793,"score_spread":0.3042599349079393,"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."}}