{"id":"W2807120024","doi":"10.1093/phe/phy011","title":"Public Mental Health Ethics: Helping Improve Mental Health for Individuals and Communities","year":2018,"lang":"en","type":"article","venue":"Public Health Ethics","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mental health; Public health; Context (archaeology); Mental illness; Psychiatry; Health promotion; Affect (linguistics); Middle Eastern Mental Health Issues & Syndromes; Health care; Medicine; Promotion (chess); Politics; Psychology; Nursing; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.020167,0.0006070532,0.001074185,0.0005699219,0.008565346,0.0005145716,0.0007540239,0.000785445,0.0005221863],"category_scores_gemma":[0.0003770677,0.0005951806,0.0001385135,0.0005481982,0.001040879,0.0007688755,0.0004580351,0.003173088,0.00009162387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496913,"about_ca_system_score_gemma":0.004629175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01750889,"about_ca_topic_score_gemma":0.005983175,"domain_scores_codex":[0.9902176,0.00304786,0.001787769,0.0008895067,0.001010533,0.003046779],"domain_scores_gemma":[0.9933469,0.002058076,0.001299104,0.0009127739,0.0004116461,0.001971553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009599018,0.0008956837,0.003786034,0.002211924,0.0002114314,5.592225e-7,0.7025318,1.757317e-8,0.0000018361,0.08252768,0.03009719,0.1776399],"study_design_scores_gemma":[0.004169167,0.004138289,0.004670497,0.0003646654,0.000006287997,0.00004467636,0.0441373,0.00008539387,0.000007383849,0.0007769903,0.9410986,0.000500716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02681252,0.008790352,0.0009075548,0.950174,0.004618896,0.005252794,0.001998461,0.0003588066,0.001086616],"genre_scores_gemma":[0.4959304,0.004533478,0.004289863,0.4887069,0.001187701,0.001043716,0.003063687,0.0001758526,0.001068417],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9110014,"threshold_uncertainty_score":0.9996499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4119883120642465,"score_gpt":0.5087511664158169,"score_spread":0.09676285435157034,"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."}}