{"id":"W249995669","doi":"10.1177/070674371205701209","title":"Synthesis through Simulation: Insights on the Epidemiology of Mood and Anxiety Disorders in Canada","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Toronto; University of Manitoba; Centre for Addiction and Mental Health; University of Calgary","funders":"Alberta Innovates; Institut pour la Recherche en Santé Publique; Pfizer; Servier; H. Lundbeck A/S; Public Health Agency of Canada; Canadian Institutes of Health Research; Teva Pharmaceutical Industries","keywords":"Anxiety; Mood; Population; Epidemiology; Mood disorders; Mental health; Recall bias; Psychiatry; Psychology; Medicine; Clinical psychology; Environmental health; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003208269,0.00007783927,0.0002115541,0.0001322047,0.0001952076,0.00001274949,0.0003599579,0.00004406301,0.00006525288],"category_scores_gemma":[0.001704087,0.00003803944,0.00006593127,0.0003682362,0.0001245134,0.0001374438,0.00000724573,0.0002085497,0.000001613005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006754612,"about_ca_system_score_gemma":0.001588633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7857099,"about_ca_topic_score_gemma":0.9988913,"domain_scores_codex":[0.9982207,0.0005298461,0.0006375513,0.00008646131,0.0003128496,0.0002125597],"domain_scores_gemma":[0.99586,0.003182705,0.0004594604,0.0002435702,0.00009605772,0.0001582032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001150339,0.000007908924,0.9367893,0.000001828421,0.00001628707,1.155654e-7,0.00115465,0.03254309,2.101078e-7,0.02545954,0.0009299984,0.003085534],"study_design_scores_gemma":[0.0001245048,0.00003051413,0.769484,0.00004313242,0.00002033807,0.00001016553,0.004743914,0.006102375,0.000001732042,0.2173303,0.002039031,0.00006994484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638422,0.001779978,0.0002803848,0.0311977,0.000942973,0.00006388968,0.000006982957,6.922274e-7,0.001885234],"genre_scores_gemma":[0.9986818,0.0000930443,0.0003310867,0.0007901794,0.00009048658,0.000001134579,1.456813e-7,0.000004506566,0.000007590625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2131814,"threshold_uncertainty_score":0.2818167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09245411818596744,"score_gpt":0.3319103147081672,"score_spread":0.2394561965221998,"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."}}