{"id":"W4410325506","doi":"10.1038/s43856-025-00825-7","title":"Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depression","year":2025,"lang":"en","type":"article","venue":"Communications Medicine","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; Medical Research Council; University of Edinburgh; National Institute for Health and Care Research; Canadian Institute of Steel Construction","keywords":"Biobank; Depression (economics); Cluster (spacecraft); Confidence interval; Hazard ratio; Cohort; Medicine; Cluster analysis; Multimorbidity; Cohort study; Demography; Comorbidity; Psychiatry; Statistics; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007185322,0.0001363128,0.0006494247,0.0004221915,0.0001646344,0.00001471974,0.0005285647,0.00005753471,0.00002982627],"category_scores_gemma":[0.0007225868,0.0001124471,0.00005195873,0.0009483692,0.0006290855,0.00009904829,0.00137376,0.0001843915,8.141048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007995776,"about_ca_system_score_gemma":0.00007055528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005445382,"about_ca_topic_score_gemma":0.0002616068,"domain_scores_codex":[0.9986729,0.0002043539,0.0004282807,0.000305516,0.0002488796,0.0001400577],"domain_scores_gemma":[0.9957922,0.001041295,0.0001981327,0.002731698,0.0001335428,0.0001031533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004174609,0.0002892786,0.9766396,0.0002337104,0.003235019,0.00000117421,0.0005927463,0.00001588571,0.0003800378,0.003420063,0.007543234,0.007607532],"study_design_scores_gemma":[0.001734186,0.00003617906,0.9687634,0.0002891631,0.008672296,2.785954e-7,0.0005277332,0.01839186,0.00001001614,0.0004290833,0.001062356,0.00008351992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403107,0.005878886,0.003614229,0.03295071,0.0001232759,0.001082142,0.0006502544,0.00009431186,0.01529551],"genre_scores_gemma":[0.993647,0.001340087,0.0008786314,0.0002321398,0.00005069546,0.00001470572,0.003611764,0.000007568449,0.0002174368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05333629,"threshold_uncertainty_score":0.458546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561979310320995,"score_gpt":0.4375067833813238,"score_spread":0.2813088523492242,"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."}}