{"id":"W4224981953","doi":"10.1016/j.biopsych.2022.02.493","title":"P257. Genetic Risk for Depression, Aging, and Effects on Inflammatory Biomarkers","year":2022,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Depression (economics); Polygenic risk score; White blood cell; Medicine; Inflammation; Internal medicine; Psychology; Biology; Genotype; Genetics; Gene; Single-nucleotide polymorphism","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":[0.0002948865,0.0009923937,0.0003955411,0.0007759897,0.0005860916,0.0006289018,0.0006439918,0.00130907,0.00961529],"category_scores_gemma":[0.001000119,0.0003108306,0.0008949157,0.0006986141,0.0003522038,0.0002873703,0.0003485267,0.0007158236,0.0008461347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272547,"about_ca_system_score_gemma":0.0002785167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637978,"about_ca_topic_score_gemma":0.003510114,"domain_scores_codex":[0.9996907,0.00009305574,0.00002720229,0.00009215854,0.0000498932,0.00004710913],"domain_scores_gemma":[0.9993712,0.000194105,0.0002273574,0.00006031023,0.00004491238,0.0001021282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03576665,0.001939956,0.5950514,0.0004806097,0.004953427,0.02533789,0.001076689,0.001647309,0.265193,0.004573203,0.005290911,0.05868904],"study_design_scores_gemma":[0.0003867525,0.001130806,0.9741079,0.0001155524,0.001718455,0.006262081,0.0002459483,0.002074765,0.007185429,0.002927743,0.003789372,0.00005529261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930115,0.001352638,0.0007788644,0.0004846005,0.00008798533,0.00001788836,0.001546741,0.00004855231,0.002671133],"genre_scores_gemma":[0.994837,0.0003427969,0.0007157113,0.0001220892,0.00006342792,0.00002120153,0.0004823649,0.00003998743,0.003375377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00961529,"threshold_uncertainty_score":0.03216636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611112896760602,"score_gpt":0.2547210748908253,"score_spread":0.2386099459232193,"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."}}