{"id":"W3124264690","doi":"10.1002/app5.74","title":"The Political Economy of Mental Health in <scp>V</scp>ietnam: Key Lessons for Countries in Transition","year":2015,"lang":"en","type":"article","venue":"Asia & the Pacific Policy Studies","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Centre for Addiction and Mental Health; Simon Fraser University","funders":"","keywords":"Mental health; Politics; Transition (genetics); Economic growth; Political science; Economics; Political economy; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002755695,0.000134991,0.0001879524,0.0007209583,0.002689967,0.007527626,0.0004638932,0.000926669,0.006786373],"category_scores_gemma":[0.003057022,0.0001197646,0.0001930867,0.0009808032,0.007482857,0.003587094,0.002982837,0.002444051,0.0001493111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009015013,"about_ca_system_score_gemma":0.009518479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04406144,"about_ca_topic_score_gemma":0.03650472,"domain_scores_codex":[0.9984144,0.0009633253,0.00002164178,0.00004866346,0.0001009672,0.0004510528],"domain_scores_gemma":[0.9966871,0.001784347,0.0002862336,0.00007616864,0.0003039678,0.0008622223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004289254,0.00008523938,0.01154261,0.0003076986,0.00001842921,0.0008997369,0.03019715,0.001023289,0.0001408653,0.9179192,0.01266832,0.02515472],"study_design_scores_gemma":[0.0000382116,0.00008959492,0.04434716,0.002924388,0.00002307708,0.0003776989,0.3157348,0.003382525,0.0004341343,0.3957654,0.2368363,0.0000466595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2538427,0.01315265,0.003408963,0.4822061,0.0008464573,0.0001566264,0.000267747,0.00001295778,0.2461059],"genre_scores_gemma":[0.9864439,0.004549693,0.0003085712,0.003791075,0.0001917561,0.00003944452,0.00003737147,0.000007420374,0.004630871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04406144,"threshold_uncertainty_score":0.08760995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09599042476506879,"score_gpt":0.4380670383246706,"score_spread":0.3420766135596018,"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."}}