{"id":"W3080687441","doi":"10.1007/s12021-020-09486-4","title":"Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies","year":2020,"lang":"en","type":"article","venue":"Neuroinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health","keywords":"Neuroimaging; Phenome; Imaging genetics; Computer science; Genome-wide association study; Biobank; Genetic association; Connectomics; Bioinformatics; Connectome; Biology; Neuroscience; Phenotype; Genetics; Single-nucleotide polymorphism; Genotype; 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":[0.006366635,0.001644445,0.002418102,0.002745674,0.001000905,0.003246483,0.004026962,0.001282875,0.03978895],"category_scores_gemma":[0.01767493,0.001211965,0.001767528,0.004313,0.000826014,0.002867029,0.006472683,0.002260594,0.02087868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222297,"about_ca_system_score_gemma":0.003827139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008036708,"about_ca_topic_score_gemma":0.009399887,"domain_scores_codex":[0.9975242,0.0005389109,0.0002253228,0.0005898856,0.000754174,0.000367486],"domain_scores_gemma":[0.9892517,0.003457686,0.0008117603,0.003057214,0.001057942,0.002363665],"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":[0.00761321,0.0004058416,0.01422414,0.001456778,0.001667189,0.00091381,0.0005288202,0.006209859,0.01159435,0.0162353,0.8507082,0.08844252],"study_design_scores_gemma":[0.009814463,0.0007523794,0.06556997,0.0007856502,0.001669609,0.001345048,0.0005277527,0.1032134,0.02776229,0.146018,0.6413988,0.001142693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01944296,0.003167293,0.2104807,0.007141131,0.002960052,0.002666024,0.3550423,0.3757819,0.02331752],"genre_scores_gemma":[0.2506987,0.004862379,0.3362793,0.01036696,0.002089096,0.008203806,0.3126689,0.06025213,0.01457875],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03978895,"threshold_uncertainty_score":0.1331074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763992541250098,"score_gpt":0.3002576370425839,"score_spread":0.2426177116300829,"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."}}