{"id":"W4405239384","doi":"10.1039/9781837672059-00001","title":"Genetic Architecture of Schizophrenia: Transitioning from Candidate Genes to Polygenic Risk Scores","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Genetic architecture; Polygenic risk score; Schizophrenia (object-oriented programming); Candidate gene; Biology; Genetics; Architecture; Gene; Computational biology; Psychology; Quantitative trait locus; Psychiatry; Geography; Single-nucleotide polymorphism; Genotype","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":[0.000425011,0.0004254445,0.0003751916,0.0008864103,0.0001692051,0.001260446,0.000412593,0.0004945886,0.01011665],"category_scores_gemma":[0.0009453227,0.0002483354,0.0002443125,0.0007794143,0.001036538,0.001197163,0.0005229556,0.001277016,0.002931999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007282516,"about_ca_system_score_gemma":0.000348332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613018,"about_ca_topic_score_gemma":0.00400222,"domain_scores_codex":[0.9999112,0.00002950687,0.000004101934,0.00002002563,0.00003073805,0.000004436974],"domain_scores_gemma":[0.9997403,0.0002051157,0.000008104806,0.0000105539,0.00002134137,0.00001461618],"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":[0.0001027379,0.00003049204,0.003543172,0.000399876,0.00004442294,0.0005436973,0.0007757579,0.004572988,0.003478599,0.2086273,0.1229671,0.654914],"study_design_scores_gemma":[0.00002277134,0.00008476358,0.01134675,0.0006044037,0.00003488145,0.001900933,0.000332349,0.007237091,0.0007937671,0.539473,0.4381239,0.00004539197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03454217,0.2907595,0.2262305,0.06304709,0.004327946,0.0001463446,0.002116813,0.002315854,0.3765138],"genre_scores_gemma":[0.1470387,0.2458318,0.1610876,0.01380512,0.005417772,0.0002392144,0.001878807,0.00090898,0.423792],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01011665,"threshold_uncertainty_score":0.03384352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006537234351701606,"score_gpt":0.2234948246994508,"score_spread":0.2169575903477491,"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."}}