{"id":"W2193791265","doi":"10.1016/j.neuroimage.2015.11.057","title":"ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide","year":2015,"lang":"en","type":"review","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"National Institute on Drug Abuse; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism; National Center for Advancing Translational Sciences; Biotechnology and Biological Sciences Research Council; National Institute of Mental Health; Medical Research Council; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Wellcome Trust","keywords":"Neuroimaging; Affect (linguistics); Brain Structure and Function; Brain function; Disease; Brain size; Brain disease; Neuropsychopharmacology; Psychology; Neuroscience; Medicine; Magnetic resonance imaging; Pathology","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":[0.003284194,0.001274488,0.001700599,0.005021412,0.0008389154,0.002955326,0.0008954168,0.001565881,0.005380261],"category_scores_gemma":[0.007754884,0.0003410617,0.001455466,0.006679756,0.0009476984,0.00318358,0.00190545,0.002654592,0.001214971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129383,"about_ca_system_score_gemma":0.002409301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240592,"about_ca_topic_score_gemma":0.01197002,"domain_scores_codex":[0.9988022,0.0003635223,0.0002155284,0.0002673652,0.0002231531,0.000128293],"domain_scores_gemma":[0.9964755,0.001603239,0.0007939546,0.0001108815,0.0006896543,0.0003266924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001441264,0.00006707698,0.1313334,0.008301055,0.001521344,0.0011575,0.002638957,0.0007104237,0.0001817265,0.0112946,0.1436898,0.69896],"study_design_scores_gemma":[0.00003259582,0.0001247461,0.2113439,0.03706806,0.002196189,0.005361941,0.005216381,0.0007255259,0.0002769028,0.02365024,0.7136728,0.0003308058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007225971,0.9532586,0.001242689,0.02921242,0.002147095,0.00003389973,0.002162124,0.00007838687,0.004638906],"genre_scores_gemma":[0.02254442,0.9646698,0.002244137,0.005027851,0.002074704,0.0000844883,0.002396665,0.0000339191,0.0009240818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01240592,"threshold_uncertainty_score":0.02466744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501001754695319,"score_gpt":0.3406283070969157,"score_spread":0.1905281316273839,"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."}}