{"id":"W4387496593","doi":"10.1016/j.euroneuro.2023.08.244","title":"W56. UNRAVELING THE IMPACT OF GENOMIC VARIATIONS ON COGNITIVE ABILITY ACROSS THE HUMAN CORTEX: INSIGHTS FROM GENE EXPRESSION AND COPY NUMBER VARIANTS","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Université de Montréal","funders":"","keywords":"Copy-number variation; Cognition; Biology; Genetics; Gene; Human brain; Temporal cortex; Population; Genome-wide association study; Cortex (anatomy); Neuroscience; Genome; Single-nucleotide polymorphism; Medicine; 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":[0.0004466961,0.0008949575,0.0006194959,0.0007959199,0.0004313082,0.0007073844,0.0005858894,0.001272367,0.009146607],"category_scores_gemma":[0.001277251,0.000276101,0.0009374061,0.0009361142,0.0006781278,0.0005102414,0.0004401397,0.0009733991,0.0007424768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942971,"about_ca_system_score_gemma":0.0002772818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005576725,"about_ca_topic_score_gemma":0.006156273,"domain_scores_codex":[0.9995248,0.00006868853,0.00004603199,0.0002284949,0.0000763603,0.00005567114],"domain_scores_gemma":[0.9993262,0.0003197343,0.0001766116,0.00007429074,0.00004106564,0.0000619666],"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":[0.00525885,0.000430899,0.1563812,0.001008534,0.003020968,0.009898671,0.001167083,0.003113634,0.6627547,0.01112457,0.007905219,0.1379356],"study_design_scores_gemma":[0.0004426221,0.0007002009,0.8957356,0.0002970864,0.001517387,0.008757677,0.0003535854,0.005001028,0.04569383,0.01708228,0.02423816,0.0001805087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697113,0.003291557,0.008695735,0.002934065,0.0004486041,0.00006377753,0.008018855,0.0001737579,0.006662287],"genre_scores_gemma":[0.988193,0.0008849571,0.003692565,0.001054048,0.0002036929,0.00005174228,0.001408409,0.000175577,0.004336104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009146607,"threshold_uncertainty_score":0.0305984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360315160705137,"score_gpt":0.379137335259242,"score_spread":0.3355341836521906,"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."}}