{"id":"W4288084297","doi":"10.1192/j.eurpsy.2022.2301","title":"Comparing personalized brain-based and genetic risk scores for major depressive disorder in large population samples of adults and adolescents","year":2022,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institutes of Health; National Institute on Drug Abuse; Wellcome Trust","keywords":"Major depressive disorder; Subclinical infection; Psychology; Population; Context (archaeology); Fractional anisotropy; Internal medicine; Clinical psychology; Medicine; Psychiatry; White matter; Magnetic resonance imaging; Mood; Biology","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":[0.0002139518,0.0001200007,0.0001653496,0.0001184918,0.000399764,0.00001726039,0.0001010677,0.00001012661,0.00000760587],"category_scores_gemma":[0.001200389,0.0001261827,0.00004116273,0.0001423341,0.000070307,0.00004583253,0.0001600276,0.0001257827,5.558992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001600809,"about_ca_system_score_gemma":0.00001457164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009433564,"about_ca_topic_score_gemma":0.0004325225,"domain_scores_codex":[0.9985547,0.0004624981,0.0002092576,0.0004291049,0.000174516,0.0001699207],"domain_scores_gemma":[0.9989489,0.0007059427,0.0001688842,0.0001272458,0.00001604185,0.00003293843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005444892,0.0001535732,0.9965716,0.0001438467,0.000006058624,0.000001688278,0.0005694249,0.0006030423,0.0004453387,0.0002995858,0.000240915,0.0004204602],"study_design_scores_gemma":[0.004509478,0.0001344617,0.9900572,0.000120611,0.0000146251,0.000004285764,0.0004514063,0.004010943,0.0000381496,0.0003107888,0.0002176597,0.0001304158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967427,0.0009900036,0.0006578953,0.0006900253,0.0002596166,0.0004148258,0.0001813899,0.00002561951,0.00003789205],"genre_scores_gemma":[0.9982215,0.000009759635,0.0007495917,0.0008994894,0.00004377379,0.00002833755,0.000009630776,0.00002689503,0.0000109922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006514402,"threshold_uncertainty_score":0.5145583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962054371826901,"score_gpt":0.2519644653164158,"score_spread":0.2323439215981468,"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."}}