{"id":"W2096629558","doi":"10.1093/nar/gkv362","title":"RSAT 2015: Regulatory Sequence Analysis Tools","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Biology; Software; Suite; Genome; Computational biology; Genomics; Software suite; Web server; Cluster analysis; Sequence analysis; Comparative genomics; Genetics; Bioinformatics; Computer science; World Wide Web; The Internet; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284783,0.0001341849,0.0001948458,0.0001653507,0.0001560733,0.00006954393,0.0004374936,0.0001512621,0.00005408982],"category_scores_gemma":[0.0003192121,0.0001236269,0.0001264133,0.0005456296,0.0003046592,0.000001438115,0.0004586783,0.000172675,0.00008775748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005439388,"about_ca_system_score_gemma":0.0002106693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008321604,"about_ca_topic_score_gemma":0.00006305859,"domain_scores_codex":[0.9981827,0.0001878647,0.0001870198,0.0004603341,0.0005052527,0.0004768456],"domain_scores_gemma":[0.9984478,0.00002948754,0.00003587122,0.0007344279,0.0005108712,0.0002414779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001348822,0.00007596898,0.05370104,0.00001297246,0.0008048349,0.00001415538,0.0003668355,0.0003765502,0.8901087,0.000525511,0.04644616,0.007432363],"study_design_scores_gemma":[0.001262066,0.001122007,0.1344998,0.00001163639,0.0001936484,0.00001938976,0.001571124,0.0006600406,0.1060732,0.001718772,0.7521402,0.0007280243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897016,0.001844428,0.00008914625,0.0004310546,0.00008841892,0.0001583888,0.00005506582,0.000004712474,0.007627191],"genre_scores_gemma":[0.9953823,0.0002790867,0.0009492329,0.0001018733,0.0002651448,0.00002514479,0.0000554582,0.00002169885,0.002920081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7840355,"threshold_uncertainty_score":0.504136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138926118134623,"score_gpt":0.3739178445848067,"score_spread":0.2600252327713444,"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."}}