{"id":"W2165947961","doi":"10.3109/00048670903279838","title":"Use of Administrative Data for the Surveillance of Mood and Anxiety Disorders","year":2009,"lang":"en","type":"article","venue":"Australian & New Zealand Journal of Psychiatry","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Manitoba Health; University of Manitoba; Public Health Agency of Canada; Centre for Addiction and Mental Health; Capital District Health Authority; Dalhousie University","funders":"Dalhousie University; Ontario Ministry of Health and Long-Term Care; Public Health Agency; Public Health Agency of Canada","keywords":"Anxiety; Mood; Mood disorders; Psychology; Clinical psychology; Psychiatry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236995,0.00009008822,0.0002834846,0.00005081174,0.0001697056,0.000006901619,0.0002518317,0.0001150828,0.00004660949],"category_scores_gemma":[0.0002990604,0.00005520179,0.00005497541,0.000105141,0.00005678605,0.0002398112,0.00001899669,0.0004167178,7.17213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009960011,"about_ca_system_score_gemma":0.0006941248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000153278,"about_ca_topic_score_gemma":0.0007093998,"domain_scores_codex":[0.9983802,0.0001211845,0.0009784077,0.00008636258,0.0002174213,0.000216432],"domain_scores_gemma":[0.9977448,0.0005077551,0.00113882,0.000283,0.0001406493,0.0001849467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007073636,0.00009863131,0.4504071,0.000364581,0.00007141167,9.049925e-8,0.001756478,0.00001616571,0.00001773524,0.001699263,0.5277832,0.01707799],"study_design_scores_gemma":[0.002341778,0.001289484,0.8130953,0.0005093229,0.00006951032,0.00001049769,0.001855286,0.0001543395,0.0000063814,0.004198307,0.1763766,0.00009325863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6011873,0.0008955229,0.00324853,0.3877299,0.003868569,0.001654415,0.0007484098,0.00002009446,0.0006472244],"genre_scores_gemma":[0.9897488,0.001791799,0.006038699,0.0006476259,0.0005436254,0.000001397321,0.00002601392,0.000006391103,0.001195652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3885614,"threshold_uncertainty_score":0.2251064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.306041398157209,"score_gpt":0.4725769877343857,"score_spread":0.1665355895771767,"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."}}