{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1369689,0.00467401,0.01484558,0.006959612,0.0009181319,0.00467047,0.003886089,0.003196264,0.003747604],"category_scores_gemma":[0.2273684,0.002071839,0.07797335,0.005438741,0.001355997,0.003401846,0.00272042,0.003239144,0.0004382087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078321,"about_ca_system_score_gemma":0.002192701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003817061,"about_ca_topic_score_gemma":0.004892792,"domain_scores_codex":[0.8812265,0.0956976,0.0114262,0.007093844,0.003938541,0.0006172358],"domain_scores_gemma":[0.8074697,0.1651998,0.01076486,0.01131455,0.004682354,0.000568738],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005040465,0.00003344895,0.008797819,0.0242406,0.9502348,0.00006097815,0.00008317057,0.001602672,0.0002003475,0.0002725519,0.0005021523,0.008930903],"study_design_scores_gemma":[0.003168608,0.0003978071,0.005302348,0.00318535,0.982866,0.00009255324,0.00004334277,0.001971059,0.0002304058,0.001490963,0.001194944,0.0000566936],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07902788,0.781214,0.1145492,0.002439092,0.001268544,0.006913136,0.01145488,0.00119282,0.001940441],"genre_scores_gemma":[0.8447831,0.07317502,0.05489802,0.002572622,0.0004045572,0.0148713,0.007849314,0.0006182684,0.0008277859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.863031,"threshold_uncertainty_score":0.7243696,"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."}}