{"id":"W4412522702","doi":"10.1038/s41551-025-01454-0","title":"A pattern-learning algorithm associates copy number variations with brain structure and behavioural variables in an adolescent population cohort","year":2025,"lang":"en","type":"article","venue":"Nature Biomedical Engineering","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Neurological Institute and Hospital; McGill University; Centre Hospitalier Universitaire Sainte-Justine; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Mental Health; National Medical Research Council; Medical Research Council; Health Canada; Canadian Institute for Advanced Research; Norges Forskningsråd; Horizon 2020 Framework Programme; NordForsk; Canada Research Chairs; Canada First Research Excellence Fund; National Institutes of Health; Institut de Valorisation des Données; Science Foundation Ireland; Canadian Institutes of Health Research; Compute Canada; Fondation Brain Canada","keywords":"Cohort; Psychosocial; Cognition; Developmental psychology; Psychology; Anxiety; Genetic architecture; Brain morphometry; Population; Neuroscience; Medicine; Psychiatry; Quantitative trait locus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003597205,0.0003912318,0.0005336112,0.0008912444,0.0003954628,0.0006590579,0.0008262116,0.0005435349,0.003207253],"category_scores_gemma":[0.008945485,0.0001678935,0.001078059,0.0006183874,0.0005186655,0.0003864279,0.0008265053,0.0007768969,0.0003328949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004563181,"about_ca_system_score_gemma":0.0007720804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005542404,"about_ca_topic_score_gemma":0.005648148,"domain_scores_codex":[0.9991713,0.0003279388,0.00004777106,0.000358365,0.00005147237,0.00004324854],"domain_scores_gemma":[0.9970246,0.002071615,0.0002647619,0.000386931,0.000171909,0.00008020038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000960868,0.0002612299,0.7460874,0.00007709952,0.00133352,0.0001948477,0.0002091587,0.04763274,0.004574606,0.00172889,0.001864976,0.1950747],"study_design_scores_gemma":[0.00015387,0.0005903172,0.1644642,0.00002972005,0.000374835,0.0004223296,0.0001875673,0.823124,0.002618199,0.006931956,0.001076325,0.00002674709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884117,0.0001506825,0.108356,0.0004758035,0.00002263645,0.0001654174,0.001047489,0.0005409044,0.000829399],"genre_scores_gemma":[0.9442369,0.00005149525,0.05303929,0.00008841971,0.00001587625,0.000160964,0.001009245,0.00005848407,0.001339284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005542404,"threshold_uncertainty_score":0.01902401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001812417458630797,"score_gpt":0.2128832823504413,"score_spread":0.2110708648918105,"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."}}