{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433041,0.000556525,0.0006819073,0.0009908312,0.0007122522,0.0006767997,0.0005182336,0.000823174,0.001348193],"category_scores_gemma":[0.002985172,0.0003812161,0.0006492989,0.0008677028,0.0004398014,0.0005154646,0.0005386265,0.000545561,0.0001997971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151034,"about_ca_system_score_gemma":0.0001943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014503,"about_ca_topic_score_gemma":0.01041187,"domain_scores_codex":[0.9992759,0.0002868837,0.0000484622,0.0002686293,0.00006687286,0.00005330837],"domain_scores_gemma":[0.9989452,0.000376446,0.0002085529,0.0002340315,0.0001130911,0.0001227018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007029742,0.0001269311,0.99193,0.00001381253,0.0005899437,0.0001565039,0.0004510905,0.000105796,0.003652717,0.00004535032,0.00009413066,0.00213069],"study_design_scores_gemma":[0.0000170204,0.000309525,0.9985557,0.000001760673,0.0001296075,0.0002298618,0.000186727,0.0002704972,0.0001423677,0.00005002794,0.0001016643,0.000005128173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991835,0.00007968106,0.0004072906,0.00001410497,0.000003332892,0.00001148792,0.0001854243,0.000003507856,0.000111715],"genre_scores_gemma":[0.9990329,0.00005740623,0.0003069649,0.00003196592,0.000006241096,0.00001905353,0.0002746283,0.000004893262,0.0002660944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01014503,"threshold_uncertainty_score":0.020172,"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."}}