{"id":"W4387496650","doi":"10.1016/j.euroneuro.2023.08.340","title":"T55. DESCRIBING THE BROAD SPECTRUM OF CNVS EFFECT SIZES ON COGNITIVE ABILITY ACROSS BRAIN AND NON-BRAIN TISSUE","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Copy-number variation; Cognition; Population; Biology; Genome; Broad spectrum; Gene; Computational biology; Neuroscience; Psychology; Genetics; Medicine","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":[0.0007451007,0.0009998579,0.0004351726,0.002075318,0.00056512,0.0008222642,0.0005512228,0.001563853,0.02613417],"category_scores_gemma":[0.002911353,0.0002012949,0.001267244,0.001253941,0.0004925435,0.0004531436,0.0007271428,0.0007341627,0.001476714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218229,"about_ca_system_score_gemma":0.0004032908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674196,"about_ca_topic_score_gemma":0.004682854,"domain_scores_codex":[0.9992517,0.0001142648,0.00008726988,0.0003127687,0.0001546072,0.00007935675],"domain_scores_gemma":[0.9986767,0.0008373307,0.0002225769,0.0001036184,0.00006967512,0.00009005407],"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":[0.006362199,0.0003044347,0.1111955,0.001879542,0.002932866,0.0379756,0.001413079,0.002251305,0.4997683,0.01717064,0.03762468,0.2811219],"study_design_scores_gemma":[0.0009074872,0.001335778,0.6050836,0.001035674,0.002995985,0.1252847,0.0006693146,0.004982923,0.09726497,0.02222996,0.1378963,0.0003133486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413562,0.01033361,0.03288223,0.004948219,0.002484815,0.0003518872,0.0453635,0.002092384,0.06018718],"genre_scores_gemma":[0.9767551,0.001201847,0.007663088,0.001186415,0.0003383498,0.000151,0.005952297,0.0002576513,0.006494257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02613417,"threshold_uncertainty_score":0.0874275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734632832078025,"score_gpt":0.2960835080755077,"score_spread":0.2787371797547274,"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."}}