{"id":"W4296851023","doi":"10.1016/j.euroneuro.2022.07.534","title":"THE ASSOCIATION BETWEEN POLYGENIC RISK FOR SCHIZOPHRENIA AND BRAIN AGE IN A POPULATION-BASED SAMPLE OF YOUNG ADULTS: A RECALL-BY-GENOTYPE-BASED APPROACH","year":2022,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Polygenic risk score; Schizophrenia (object-oriented programming); Association (psychology); Recall; Genotype; Sample (material); Psychology; Clinical psychology; Population; Psychiatry; Medicine; Genetics; Single-nucleotide polymorphism; Biology; Cognitive psychology; Environmental health; Gene; Psychotherapist","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":[0.00208397,0.0001696622,0.0001943467,0.00008376141,0.0003654271,0.00001684972,0.0003032812,0.00003350613,0.0001810471],"category_scores_gemma":[0.0005674755,0.0001680406,0.00005950608,0.0003330745,0.0001051028,0.0000457677,0.0001463196,0.0004069568,0.00001593921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938247,"about_ca_system_score_gemma":0.00001600759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004988465,"about_ca_topic_score_gemma":0.0001293937,"domain_scores_codex":[0.9954913,0.002797426,0.0004320693,0.0005930841,0.0002848704,0.0004012781],"domain_scores_gemma":[0.9975275,0.001711346,0.0004237549,0.0002310539,0.000005543089,0.000100738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008868909,0.0002259243,0.9548185,0.00002140182,0.00002871786,0.000007013375,0.0003040758,0.003610478,0.01662171,0.000007235279,0.002039048,0.02142895],"study_design_scores_gemma":[0.004340304,0.000274473,0.9774552,0.000003280814,0.00004171111,8.226023e-7,0.00003227638,0.004652604,0.00004144929,0.00004279774,0.0129428,0.0001722898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946518,0.00005422536,0.001965882,0.0006359825,0.0001404537,0.001144951,0.0002329183,0.0000542963,0.001119522],"genre_scores_gemma":[0.9972237,0.00001957476,0.000957786,0.001266398,0.00004675817,0.0001332398,0.00009281637,0.0001006902,0.0001589821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02263663,"threshold_uncertainty_score":0.6852497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136882379160297,"score_gpt":0.2581068457323766,"score_spread":0.2467380219407736,"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."}}