{"id":"W4409280116","doi":"10.1016/j.biopsych.2025.02.202","title":"12. Reliable Multimodal Brain Signatures Predict Mental Health Outcomes in Children","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Mental health; Psychology; Psychiatry","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":[0.001538951,0.0004487889,0.0001576327,0.0004373773,0.0003264516,0.001045761,0.0003484559,0.0010363,0.008014446],"category_scores_gemma":[0.007231921,0.0002231583,0.0004677356,0.0003747792,0.0004639706,0.0008375503,0.0005680997,0.0006470939,0.00214516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427907,"about_ca_system_score_gemma":0.0007569849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004479086,"about_ca_topic_score_gemma":0.007617454,"domain_scores_codex":[0.9997258,0.00005204871,0.00002033327,0.00008344357,0.000038716,0.00007958946],"domain_scores_gemma":[0.9975636,0.0007915646,0.0007989401,0.0001744072,0.0003798239,0.000291745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004105973,0.00009956973,0.9543867,0.00007371236,0.0001296195,0.0003653694,0.0002260137,0.0004225652,0.007686906,0.0007546385,0.003371044,0.03207308],"study_design_scores_gemma":[0.00001601244,0.00008654442,0.9957272,0.00003061294,0.0000586095,0.0002651024,0.0002002575,0.0003943213,0.001772305,0.0007557215,0.0006840748,0.000009209289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779976,0.000530591,0.003585206,0.00199471,0.00009579541,0.00005594591,0.005764654,0.00006966313,0.009905795],"genre_scores_gemma":[0.9946109,0.0002262069,0.002018916,0.0002029733,0.00004088704,0.00004004329,0.001594773,0.0000356238,0.001229655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008014446,"threshold_uncertainty_score":0.026811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315150555968276,"score_gpt":0.3111048427188419,"score_spread":0.2979533371591591,"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."}}