{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000337952,0.0001595814,0.000185942,0.00002864572,0.00007616817,0.00005780015,0.0001761879,0.000201494,0.000007337429],"category_scores_gemma":[0.0005189696,0.0001591696,0.000115905,0.0001249479,0.00002066202,0.00001011516,0.0001128402,0.00005541051,0.00001811965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001547474,"about_ca_system_score_gemma":0.0001208278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001933175,"about_ca_topic_score_gemma":0.00001487642,"domain_scores_codex":[0.9989086,0.00003046516,0.0003853439,0.00016657,0.0001272321,0.0003817935],"domain_scores_gemma":[0.999314,0.00007474046,0.0001329141,0.000336783,0.00007881701,0.00006274231],"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":[0.000139312,0.000318908,0.006132646,0.001143025,0.0004153749,0.00005804269,0.00293173,0.004507196,0.6931533,0.005686793,0.1282846,0.1572291],"study_design_scores_gemma":[0.001601397,0.0003432303,0.001010772,0.0001837825,0.00004380837,0.00005322933,0.001448767,0.006047572,0.6725046,0.001689084,0.3147447,0.0003290136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189329,0.001417084,0.06480411,0.0001075191,0.0006285761,0.0006113634,0.00006238645,0.00003373872,0.01340228],"genre_scores_gemma":[0.5285483,0.0007654562,0.4582919,0.002234985,0.001375321,0.0002718675,0.000471079,0.00009926803,0.007941788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3934878,"threshold_uncertainty_score":0.649075,"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."}}