{"id":"W3214075907","doi":"10.1093/bioinformatics/btab768","title":"<scp>Verna</scp>l: a tool for mining fuzzy network motifs in RNA","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Motif (music); Computer science; Structural motif; Cluster analysis; Source code; Web server; Data mining; Theoretical computer science; Artificial intelligence; The Internet; World Wide Web; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000854313,0.001566055,0.0007437844,0.003604461,0.000840909,0.001970766,0.002574511,0.0009344167,0.05371968],"category_scores_gemma":[0.005452137,0.0007936811,0.001444779,0.001889503,0.0008089665,0.001569709,0.001653639,0.001022322,0.009994511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008461391,"about_ca_system_score_gemma":0.001057308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005339577,"about_ca_topic_score_gemma":0.01317142,"domain_scores_codex":[0.9995598,0.00004823516,0.00003393903,0.0001543432,0.0001731264,0.00003054369],"domain_scores_gemma":[0.9986107,0.0008605877,0.0001149931,0.0001643185,0.0001729111,0.00007636864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008561032,0.000224649,0.009787796,0.003425648,0.0004160249,0.001550158,0.0008041637,0.05842379,0.03348994,0.02572275,0.3897911,0.4755078],"study_design_scores_gemma":[0.000263414,0.0001343385,0.003898782,0.0002530828,0.00008408404,0.001348094,0.0001770421,0.7765343,0.03256536,0.04007979,0.1444977,0.0001639872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01605323,0.0005274005,0.6099739,0.000360019,0.000133493,0.000407734,0.03385363,0.3301416,0.008548966],"genre_scores_gemma":[0.1064985,0.0003482086,0.8098052,0.0002896085,0.00006509207,0.001064608,0.05222147,0.0209794,0.008727905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05371968,"threshold_uncertainty_score":0.1797103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376571658560523,"score_gpt":0.2330883932854463,"score_spread":0.219322676699841,"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."}}