{"id":"W7098208597","doi":"","title":"Original Research Prevalence of Depression and Prescriptions for","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BELLA; Depression (economics); Medical prescription; Antidepressant; Rural community; Prevalence; Public health; Rural area; Community health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005155007,0.0001044449,0.0002154345,0.001891641,0.0004222349,0.0005834525,0.0004211295,0.0001851032,0.007482893],"category_scores_gemma":[0.0052412,0.0001498041,0.0001561053,0.003398051,0.0002975937,0.0002262138,0.0002614083,0.0002973313,0.0005345224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798378,"about_ca_system_score_gemma":0.001764035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1949193,"about_ca_topic_score_gemma":0.2108031,"domain_scores_codex":[0.9991977,0.00009495715,0.0001229639,0.0001231963,0.0003645277,0.00009678183],"domain_scores_gemma":[0.9965193,0.0005554997,0.001492186,0.0001171276,0.000941997,0.0003738326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001760678,0.00001282174,0.9945446,0.00005099454,0.00002457896,0.00005425002,0.0001785479,0.00002068366,0.00004612446,0.00006234738,0.001408135,0.00357922],"study_design_scores_gemma":[0.000001532423,0.000007710864,0.9986375,0.00001929672,0.000004483925,0.0002139354,0.0002437761,0.00002137872,0.00001234082,0.000008148444,0.0008288347,0.000001064565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748889,0.001351769,0.000128857,0.0003748703,0.00001892742,0.00007660159,0.01435005,0.00001083002,0.008799234],"genre_scores_gemma":[0.9930315,0.001077306,0.000194004,0.00007606447,0.00002821036,0.0000465964,0.004075797,0.000003072536,0.001467418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1949193,"threshold_uncertainty_score":0.3875695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.275017533098423,"score_gpt":0.3321958353344403,"score_spread":0.05717830223601733,"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."}}