{"id":"W2010427756","doi":"10.1186/1478-4491-7-67","title":"Equity-oriented toolkit for health technology assessment and knowledge translation: application to scaling up of training and education for health workers","year":2009,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for International Health; Institute of Population and Public Health; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Workforce; Equity (law); Knowledge translation; Health equity; Alliance; Global health; Health services research; Health policy; Health administration; Health promotion; Business; International health; Public relations; Medicine; Public health; Knowledge management; Economic growth; Nursing; Political science; Economics; Computer science","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":[0.1808339,0.001764433,0.001985262,0.009596056,0.00188427,0.006534889,0.003826904,0.003643777,0.02080368],"category_scores_gemma":[0.336311,0.001857754,0.004207719,0.00892533,0.001955152,0.006234549,0.01207275,0.004305379,0.004791621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416587,"about_ca_system_score_gemma":0.01805357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003366851,"about_ca_topic_score_gemma":0.003989229,"domain_scores_codex":[0.8632585,0.1031503,0.01752548,0.001873919,0.01267035,0.001521267],"domain_scores_gemma":[0.6447898,0.3028054,0.007930035,0.02026034,0.02188408,0.00233046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000597945,0.001080577,0.003912124,0.007232224,0.0004201363,0.0005598341,0.004071627,0.006484087,0.0011373,0.02292939,0.04230642,0.9092684],"study_design_scores_gemma":[0.008138163,0.003403475,0.06074205,0.03092391,0.001911836,0.002521729,0.01106761,0.09243324,0.01544403,0.3264661,0.4452265,0.001721501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01733682,0.001400346,0.8684734,0.01535622,0.0007755144,0.04092677,0.007332508,0.01425443,0.03414397],"genre_scores_gemma":[0.02819118,0.0005723426,0.945094,0.0006290656,0.00006726563,0.02217995,0.001683595,0.0004612998,0.001121322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1808339,"threshold_uncertainty_score":0.9563525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4359015774526973,"score_gpt":0.5392435338895398,"score_spread":0.1033419564368425,"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."}}