{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1051376,0.001756882,0.002095506,0.003072937,0.001592883,0.004555121,0.005672486,0.003186352,0.009941683],"category_scores_gemma":[0.3340446,0.001300463,0.002970285,0.008138173,0.004203166,0.004299317,0.004169535,0.005919256,0.002797839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139227,"about_ca_system_score_gemma":0.008251106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737481,"about_ca_topic_score_gemma":0.02079139,"domain_scores_codex":[0.8777007,0.1076389,0.004046491,0.004127993,0.006054041,0.0004318595],"domain_scores_gemma":[0.5340015,0.4125309,0.006811105,0.02885577,0.01632348,0.001477343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006237752,0.0002163614,0.04251778,0.005240781,0.002711182,0.001068965,0.001861837,0.04333022,0.001502876,0.2079918,0.1056585,0.5872759],"study_design_scores_gemma":[0.0003542799,0.0003535908,0.01841533,0.003758252,0.0006975563,0.001817268,0.0009049046,0.1655156,0.001781857,0.6896839,0.1163612,0.0003563642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01068704,0.01753495,0.9260795,0.03048586,0.002268801,0.0009908418,0.002498016,0.0009899549,0.008465058],"genre_scores_gemma":[0.1368348,0.01008894,0.8349578,0.008258556,0.001415345,0.004086389,0.001510653,0.0006804819,0.002167079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1051376,"threshold_uncertainty_score":0.5560275,"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."}}