{"id":"W2525715442","doi":"10.1186/s12916-016-0696-1","title":"The disease of corruption: views on how to fight corruption to advance 21st century global health goals","year":2016,"lang":"en","type":"editorial","venue":"BMC Medicine","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Language change; Medicine; Global health; Multidisciplinary approach; Disease; Population; Public health; Public relations; Political science; Development economics; Economic growth; Environmental health; Law; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01589304,0.00285175,0.0027258,0.003269822,0.00370911,0.01168137,0.002896755,0.01574299,0.004756206],"category_scores_gemma":[0.06045882,0.00063069,0.002165858,0.00174976,0.007520572,0.009155791,0.002119947,0.03049958,0.003064773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005041956,"about_ca_system_score_gemma":0.006256494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901857,"about_ca_topic_score_gemma":0.005551039,"domain_scores_codex":[0.990099,0.003203513,0.0009915639,0.0009027866,0.004167552,0.0006355499],"domain_scores_gemma":[0.9290961,0.05079848,0.002187552,0.001188733,0.01229987,0.004429225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001103028,0.000006752199,0.00003802144,0.0001739621,0.00001116175,0.00005808341,0.0001640354,0.00004527744,0.00002478826,0.005329098,0.9898809,0.00425694],"study_design_scores_gemma":[0.00003605309,0.00002023045,0.000295426,0.001210364,0.00003969219,0.0001920833,0.0004769665,0.0003402938,0.00008652324,0.0232003,0.9740605,0.00004165223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007841822,0.03034309,0.0003115954,0.3940222,0.5730317,0.000008160308,0.0000358596,0.00003117456,0.002137786],"genre_scores_gemma":[0.002838272,0.02245074,0.0003767438,0.07212996,0.8948817,0.00001757783,0.00002173513,0.00006498132,0.007218309],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01589304,"threshold_uncertainty_score":0.08405143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933703180699952,"score_gpt":0.3370450577865109,"score_spread":0.2977080259795113,"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."}}