{"id":"W4363647577","doi":"10.1117/12.2654600","title":"A pipeline for multivariate genome-wide associations studies with morphological brain features","year":2023,"lang":"en","type":"article","venue":"","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Genome-wide association study; Univariate; Genetic architecture; Multivariate statistics; Phenotype; Multivariate analysis; Attention deficit hyperactivity disorder; Neuroimaging; Single-nucleotide polymorphism; Genetic association; Computational biology; Biology; Genetics; Psychology; Genotype; Neuroscience; Medicine; Computer science; Gene; Clinical psychology; Machine learning; Internal medicine","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":[0.002967616,0.002379227,0.001425139,0.003028016,0.001059932,0.002023237,0.002087095,0.001010648,0.02393137],"category_scores_gemma":[0.008083925,0.001176462,0.003346307,0.002012004,0.0004460555,0.0009600496,0.002330252,0.002071806,0.01028837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00088521,"about_ca_system_score_gemma":0.002819462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044007,"about_ca_topic_score_gemma":0.01679141,"domain_scores_codex":[0.9990758,0.0001816353,0.00007585048,0.000333239,0.0002354574,0.0000980406],"domain_scores_gemma":[0.9978562,0.001100473,0.0001549939,0.0003194263,0.0004435391,0.0001253392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001925411,0.000517784,0.02396517,0.001505668,0.002108108,0.001286084,0.0008278111,0.02416687,0.07517472,0.01139969,0.1321665,0.7249563],"study_design_scores_gemma":[0.0008237536,0.0006571113,0.05020095,0.0001710009,0.0007857437,0.001225358,0.000430484,0.6844099,0.06523857,0.0612068,0.1344453,0.0004051509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00708883,0.0003676947,0.8852255,0.0003962015,0.000117123,0.000474477,0.01118196,0.0939554,0.001192708],"genre_scores_gemma":[0.06120835,0.0005511529,0.887955,0.0003771647,0.0001081143,0.002003134,0.03536297,0.006519956,0.005914172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02393137,"threshold_uncertainty_score":0.08005834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04150968850755304,"score_gpt":0.3361361042564526,"score_spread":0.2946264157488995,"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."}}