{"id":"W4253979670","doi":"10.12688/wellcomeopenres.15396.1","title":"Generalized Structured Component Analysis in candidate gene association studies: applications and limitations","year":2019,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep Society; Brock University","funders":"Max-Planck-Gesellschaft; European Research Council; Wellcome Trust; Wellcome","keywords":"Biology; Univariate; Single-nucleotide polymorphism; Candidate gene; Genetic association; Genetics; Gene; Genotype; Statistics; Mathematics; Multivariate statistics","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":[0.001154457,0.0002125485,0.0004276108,0.0004068823,0.0001750158,0.0002359803,0.0007495289,0.0002679528,0.00001594474],"category_scores_gemma":[0.0001958732,0.0002186919,0.0000893161,0.0005665645,0.00007590405,0.00000379942,0.003119008,0.0004304019,0.00001493238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714642,"about_ca_system_score_gemma":0.0002485285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005420795,"about_ca_topic_score_gemma":0.003857933,"domain_scores_codex":[0.9975052,0.0004391109,0.0003840961,0.0008800043,0.000406102,0.0003854369],"domain_scores_gemma":[0.9986294,0.0001393643,0.0001594669,0.0006530952,0.000323273,0.00009539182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004900034,0.0007822588,0.2421799,0.000711963,0.01052922,0.00001335346,0.002049745,0.06369947,0.6504156,0.0008364646,0.01920333,0.009088714],"study_design_scores_gemma":[0.004371804,0.0003041604,0.841822,0.00009208754,0.0005601544,0.000002707131,0.001608653,0.003954255,0.036231,0.004755591,0.1047172,0.001580366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911554,0.003653875,0.000165296,0.0009777244,0.0001071855,0.002378083,0.0001954009,0.000004839595,0.001362157],"genre_scores_gemma":[0.9725021,0.01997296,0.001749325,0.0001419868,0.00002534728,0.000797471,0.002291764,0.00002929135,0.00248981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6141846,"threshold_uncertainty_score":0.8917999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040416758511956,"score_gpt":0.3890048193382232,"score_spread":0.2849631434870277,"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."}}