{"id":"W2912256357","doi":"10.1186/s12864-018-5369-3","title":"The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications","year":2019,"lang":"en","type":"editorial","venue":"BMC Genomics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; School of Medicine, Indiana University; University of California, Los Angeles; National Institutes of Health; Nanjing University; Shanghai Jiao Tong University; Nanjing University of Aeronautics and Astronautics; Xidian University; Anhui University; Seoul National University; Chinese Academy of Sciences; University of the Sunshine Coast; City of Hope; University of Texas Health Science Center at Houston; Texas State University; Drexel University; University of Pennsylvania; University of Texas at San Antonio; University of Texas Health Science Center at San Antonio; University of Louisville; University of Central Florida; Cancer Prevention and Research Institute of Texas; Pennsylvania State University; Xavier University of Louisiana; Memorial Sloan-Kettering Cancer Center; Johns Hopkins University; Soochow University; Worcester Polytechnic Institute; Brown University; Tulane University; National University of Singapore; Ohio State University; Rice University; Huazhong University of Science and Technology; Texas Tech University; National Science Foundation; University of Minnesota; Nankai University; Children's Hospital of Philadelphia; University of Southern California; University of Nebraska Medical Center; Kaiser Permanente; Emory University; Xiamen University; Brock University; University of Missouri","keywords":"Genomics; Session (web analytics); Data science; Genome; Biology; Computational biology; Computer science; Genetics; World Wide Web; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008124751,0.002724379,0.002120577,0.005152022,0.002104102,0.008723495,0.002436307,0.007186589,0.02138295],"category_scores_gemma":[0.01515175,0.0006390355,0.001804725,0.002320988,0.001909791,0.004662119,0.002163941,0.01330881,0.01772307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879675,"about_ca_system_score_gemma":0.003593073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009500997,"about_ca_topic_score_gemma":0.002610746,"domain_scores_codex":[0.9949459,0.0009285127,0.0004507414,0.0006777139,0.002673006,0.0003240543],"domain_scores_gemma":[0.9821197,0.005499976,0.000731626,0.0004351005,0.008050193,0.0031634],"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":[0.00004831493,0.00001165761,0.00002844083,0.0003695396,0.00001492052,0.00008396833,0.00003196548,0.00003498358,0.0001845579,0.0009776081,0.9830902,0.01512384],"study_design_scores_gemma":[0.0000129779,0.00001446803,0.000103311,0.0002825295,0.00001725699,0.0001355808,0.00003471047,0.00007628606,0.0001347339,0.001120825,0.9980561,0.00001125587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005535928,0.01496226,0.0006221656,0.02432224,0.9567225,0.00002594288,0.0000830264,0.0001017285,0.003104743],"genre_scores_gemma":[0.001169703,0.02205439,0.00071324,0.01956449,0.9162763,0.00005304608,0.0001947605,0.000214693,0.03975947],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02138295,"threshold_uncertainty_score":0.07153314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04586261969729818,"score_gpt":0.3197221199364376,"score_spread":0.2738595002391395,"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."}}