{"id":"W2904886331","doi":"10.3389/fninf.2018.00102","title":"An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto; St Joseph's Health Care; St. Joseph’s Healthcare Hamilton; Hospital for Sick Children; Centre for Addiction and Mental Health","funders":"Clinical and Translational Science Institute, University of California, Los Angeles; European Regional Development Fund; Japan Society for the Promotion of Science; H. Lundbeck A/S; National Institute of Mental Health; Ministero della Salute; Ministry of Education, Culture, Sports, Science and Technology; The Wellcome Trust DBT India Alliance; Deutsche Forschungsgemeinschaft; Instituto de Salud Carlos III; ZonMw; Department of Science and Technology, Ministry of Science and Technology, India; National Center for Advancing Translational Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; National Alliance for Research on Schizophrenia and Depression; International OCD Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Department of Biotechnology, Ministry of Science and Technology, India; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Science Foundation","keywords":"Meta-analysis; Random effects model; Pooling; Linear model; Mega-; Linear regression; Statistics; Confidence interval; Generalized linear mixed model; Meta-regression; Econometrics; Regression analysis; Subgroup analysis; Computer science; Mathematics; Medicine; Artificial intelligence","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":[0.0002966706,0.0002202052,0.000796586,0.0001711951,0.0001543656,0.00009783774,0.0008243387,0.0000469933,0.0000160878],"category_scores_gemma":[0.001263196,0.0001362296,0.0000914914,0.0009459993,0.0002679773,0.0007391609,0.0004159548,0.0003229671,0.000003096594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002052824,"about_ca_system_score_gemma":0.00002659084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005918406,"about_ca_topic_score_gemma":0.0002530517,"domain_scores_codex":[0.9980257,0.0002742953,0.0004964457,0.0004382745,0.000534217,0.0002310363],"domain_scores_gemma":[0.9940863,0.004334635,0.0003689172,0.001125786,0.00003327607,0.00005111557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001204171,0.0001252987,0.979579,0.00001730088,0.0008820966,0.000002916228,0.003165902,0.01161566,0.00008341823,0.00008369104,0.003264657,0.001059686],"study_design_scores_gemma":[0.0007598127,0.0002512986,0.1699984,0.00001779216,0.002269926,0.00000285469,0.005476218,0.8155003,0.0002304074,0.0003017761,0.004911189,0.0002800397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629012,0.0004938929,0.03410783,0.001084204,0.0004065873,0.0004672301,0.0001627667,0.00003423249,0.0003419956],"genre_scores_gemma":[0.9886741,0.00004757907,0.009808743,0.00136134,0.00001965257,0.000008937595,0.0000503218,0.00001436139,0.00001498941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8095806,"threshold_uncertainty_score":0.5555282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043078712586753,"score_gpt":0.3254795670757817,"score_spread":0.2211716958171064,"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."}}