{"id":"W3131773066","doi":"10.1017/s0033291721000131","title":"Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis","year":2021,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Jewish General Hospital","funders":"National Center for Research Resources; National Institute of Mental Health; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary; H. Lundbeck A/S; Crohn's and Colitis Canada; Universidade de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Institute on Disability and Rehabilitation Research; Agency for Healthcare Research and Quality; Ministero della Salute; Consejo Nacional de Ciencia y Tecnología; Bundesministerium für Bildung und Forschung; Government of the United Kingdom; National Cancer Institute; Universität Heidelberg; Centers for Disease Control and Prevention; Banco Santander; Tehran University of Medical Sciences and Health Services; Multiple Sclerosis Society; Research Manitoba; Pfizer; Faculty of Medicine, McGill University; Lance Armstrong Foundation; University of Washington; U.S. Department of Defense; Pennsylvania Department of Health; Armstrong Foundation; Alberta Innovates - Health Solutions; Alberta Innovates; Alberta Health Services; Health Resources and Services Administration; Department for International Development; McGill University; Deutsche Forschungsgemeinschaft; National Multiple Sclerosis Society; National Institutes of Health; McGill University Health Centre; Duke Global Health Institute, Duke University; United States Agency for International Development; Grand Challenges Canada; U.S. Department of Health and Human Services","keywords":"Bootstrapping (finance); Latent variable; Meta-analysis; Latent variable model; Confidence interval; Calibration; Patient Health Questionnaire; Statistics; Psychology; Artificial intelligence; Clinical psychology; Computer science; Medicine; Mathematics; Cognition; Depressive symptoms; Econometrics; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001727351,0.0002500208,0.001705015,0.0001209872,0.0001064599,0.000008121949,0.0009223926,0.0001385861,0.006858394],"category_scores_gemma":[0.0001412105,0.0001172884,0.0002925717,0.0008950408,0.0002154514,0.00006106561,0.000211573,0.0003051518,0.000003509789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188566,"about_ca_system_score_gemma":0.00000618345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001328886,"about_ca_topic_score_gemma":0.00001820939,"domain_scores_codex":[0.9954766,0.001793754,0.001018497,0.0007533077,0.0005904321,0.0003673897],"domain_scores_gemma":[0.9961908,0.0009054827,0.0004773777,0.002164351,0.00007972207,0.0001822279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.0046744,0.09511629,0.1852036,0.0007913299,0.3741214,0.000161985,0.01361879,0.02454122,0.009461145,0.06463196,0.005379546,0.2222984],"study_design_scores_gemma":[0.004885105,0.004945032,0.5075951,0.0001287948,0.396881,0.000006891118,0.001754729,0.07128902,0.004873747,0.00700782,0.0001073142,0.0005254528],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409183,0.007786551,0.03301642,0.005093387,0.001767818,0.001195838,0.0003715575,0.00006880585,0.009781284],"genre_scores_gemma":[0.9926546,0.000008936504,0.005690743,0.001096435,0.0000653685,0.0000788936,0.000251865,0.0000116468,0.0001415564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223915,"threshold_uncertainty_score":0.9940495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8189091708527434,"score_gpt":0.6193230850530207,"score_spread":0.1995860857997227,"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."}}