{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007419455,0.0003122335,0.0003064333,0.00006381435,0.0007050461,0.00005745775,0.00043325,0.00007275562,0.001444806],"category_scores_gemma":[0.0003020984,0.0001963858,0.0001612378,0.0003773699,0.0005596693,0.00006225823,0.000345908,0.0006697227,0.0007472399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003233921,"about_ca_system_score_gemma":0.00003239944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352578,"about_ca_topic_score_gemma":0.000008140858,"domain_scores_codex":[0.9949814,0.00305146,0.0005651411,0.0007544734,0.000164706,0.0004828004],"domain_scores_gemma":[0.9946883,0.004151835,0.0003489062,0.0005130435,0.0001823761,0.0001155456],"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":[0.0005770302,0.0003588379,0.02756631,0.000008499369,0.0003148106,0.0001806344,0.01488922,0.00007887809,0.95073,0.0002403826,0.002025278,0.003030145],"study_design_scores_gemma":[0.002416747,0.0003072073,0.9941536,0.00002796193,0.0000808597,0.00002664236,0.001112425,0.0001618273,0.0004835403,0.0008811719,0.0001553539,0.0001926643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845673,0.00007316242,0.00008895887,0.000141473,0.001107545,0.0006914868,0.0003713049,0.000185337,0.01277339],"genre_scores_gemma":[0.9982607,0.00004424755,0.00001564928,0.0007609719,0.0005163488,0.00004384687,0.00005422392,0.0001036621,0.0002003668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9665873,"threshold_uncertainty_score":0.999468,"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."}}