{"id":"W2896090507","doi":"10.1093/bioinformatics/bty825","title":"MetaOmics: analysis pipeline and browser-based software suite for transcriptomic meta-analysis","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Cancer Institute; National Institutes of Health; U.S. National Library of Medicine; National Natural Science Foundation of China","keywords":"Suite; Pipeline (software); Computer science; Software; Software suite; Software engineering; World Wide Web; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005928315,0.003412133,0.001881117,0.004195375,0.001140935,0.002840534,0.003382468,0.001244309,0.02730862],"category_scores_gemma":[0.006823286,0.002520394,0.00354229,0.002896989,0.0006589568,0.001978388,0.003449341,0.00390025,0.01855621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083123,"about_ca_system_score_gemma":0.004256157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003303435,"about_ca_topic_score_gemma":0.0042294,"domain_scores_codex":[0.9981945,0.0003926001,0.000257149,0.0004623653,0.0005188683,0.0001745656],"domain_scores_gemma":[0.9975091,0.001024725,0.0003080888,0.0003952809,0.0005050949,0.0002576106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002998822,0.0004757826,0.01536693,0.007464806,0.003831058,0.00119041,0.001540353,0.01233256,0.1379162,0.01793091,0.6258482,0.1731039],"study_design_scores_gemma":[0.001229784,0.0004292505,0.02266748,0.001003238,0.001531802,0.001645123,0.0004458921,0.1021993,0.1203109,0.05456733,0.6930436,0.0009263291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.005599884,0.0008302147,0.4248799,0.0006338943,0.0003401281,0.0009425966,0.1285767,0.4344132,0.003783539],"genre_scores_gemma":[0.02811418,0.0009510847,0.6791664,0.000929796,0.0001538531,0.005312349,0.2041614,0.07718825,0.004022669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02730862,"threshold_uncertainty_score":0.0913564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04819263447781635,"score_gpt":0.2974941623703049,"score_spread":0.2493015278924886,"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."}}