{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927008,0.0001760765,0.0004596079,0.0003002179,0.0001163945,0.00005887853,0.0001740291,0.0001313222,0.00009229494],"category_scores_gemma":[0.00006102345,0.0001398685,0.0008929234,0.000589891,0.00009211639,0.000009703199,0.00002623488,0.00003626886,0.000005422178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009764638,"about_ca_system_score_gemma":0.00005793294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006735356,"about_ca_topic_score_gemma":0.000148561,"domain_scores_codex":[0.9989893,0.00002936793,0.0004141937,0.0002398329,0.0001358276,0.0001915212],"domain_scores_gemma":[0.9989678,0.00002076796,0.0001960387,0.0004963341,0.0002193728,0.00009963934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001490718,0.0005387536,0.008522249,0.0007468404,0.5582501,8.248469e-7,0.002309529,0.007514024,0.335335,0.0006120205,0.06113132,0.02354859],"study_design_scores_gemma":[0.001590952,0.0003994535,0.001315867,0.000002254518,0.3996096,0.000001443398,0.0003195064,0.1906031,0.2641584,0.0001034531,0.1411801,0.0007159578],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02828118,0.0008290501,0.9697542,0.000268636,0.00006089677,0.0002948777,0.0003000144,0.00002624676,0.0001849281],"genre_scores_gemma":[0.8991261,0.00007202947,0.096736,0.00149563,0.0001157809,0.000103416,0.001192123,0.0000193283,0.001139662],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8730181,"threshold_uncertainty_score":0.5703671,"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."}}