{"id":"W4388362493","doi":"10.1016/j.ibneur.2023.08.1938","title":"MULTIVARIATE PATTERNS OF GENETIC AND ENVIRONMENTAL STRATIFICATION OF THE PRE-ADOLESCENT BRAIN: A SEX-SPECIFIC ADOLESCENT BRAIN COGNITIVE DEVELOPMENT STUDY","year":2023,"lang":"en","type":"article","venue":"IBRO Neuroscience Reports","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Brain development; Cognition; Psychology; Developmental psychology; Stratification (seeds); Biology; Neuroscience; Medicine; Computer science; Internal medicine; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.001129539,0.0002601545,0.0002537078,0.00008437021,0.0003045015,0.00003294484,0.0002726472,0.00005489726,0.00005157183],"category_scores_gemma":[0.0002084319,0.0002180335,0.0000562901,0.0004290456,0.0005704099,0.0001852208,0.0006313043,0.0002184514,0.00001147829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711888,"about_ca_system_score_gemma":0.00005553346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009351485,"about_ca_topic_score_gemma":0.00003596625,"domain_scores_codex":[0.9959819,0.0003641365,0.0008848436,0.001177547,0.001124032,0.0004675275],"domain_scores_gemma":[0.9983859,0.0001489255,0.0006612347,0.000621556,0.000007742097,0.0001746522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001080497,0.0005618713,0.7630479,0.00003078546,0.000003539445,0.00006629997,0.00306559,0.0003356799,0.2164229,6.869751e-7,0.00002386688,0.01643003],"study_design_scores_gemma":[0.000307022,0.0001273616,0.965117,0.000100518,0.00001059995,0.00005380459,0.001460826,0.0005882654,0.03166556,0.00001742137,0.0003549113,0.0001966816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996255,0.00001534971,0.001244064,0.000226282,0.0001827158,0.001968701,0.00002470557,0.00003153863,0.00005162922],"genre_scores_gemma":[0.9992227,0.00004439766,0.00007356072,0.0003303816,0.00001306698,0.00007416576,0.000006972832,0.00002626804,0.0002085184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020691,"threshold_uncertainty_score":0.8891147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294348492631109,"score_gpt":0.271914843732059,"score_spread":0.2424799944689481,"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."}}