{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004517208,0.0002004621,0.0001663232,0.0006092295,0.0002133319,0.0003707234,0.0001970595,0.0001849069,0.00198369],"category_scores_gemma":[0.0011695,0.0001007921,0.00028961,0.0004809001,0.0004201765,0.0001924982,0.0003577264,0.0003196342,0.0001271524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653521,"about_ca_system_score_gemma":0.0003073355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003230634,"about_ca_topic_score_gemma":0.005186681,"domain_scores_codex":[0.9998096,0.00005721531,0.00001228457,0.00005108611,0.00002741953,0.000042421],"domain_scores_gemma":[0.9992988,0.000155218,0.0002466008,0.0001061237,0.00006640386,0.0001269272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001954068,0.000100943,0.9882565,0.00001424772,0.0001268229,0.0001658733,0.000574201,0.00006877987,0.003943836,0.0002059067,0.0001043418,0.006243036],"study_design_scores_gemma":[0.00000139116,0.00004442833,0.9992982,0.000002386477,0.00001259411,0.0001216106,0.0001313009,0.00003732701,0.0001747017,0.00005627445,0.0001183296,0.000001434481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993869,0.0001070382,0.0001620547,0.00001597015,0.000001930711,0.000004032813,0.0001022453,0.000001364139,0.0002185457],"genre_scores_gemma":[0.9994931,0.00008020444,0.0001467041,0.000006916847,0.000004160481,0.000007119641,0.00009874237,0.000002922876,0.0001600839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003230634,"threshold_uncertainty_score":0.006636143,"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."}}