{"id":"W2593631741","doi":"10.12688/f1000research.10966.1","title":"Evidence-informed capacity building for setting health priorities in low- and middle-income countries: A framework and recommendations for further research","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Rockefeller Foundation; Department for International Development; Department for International Development, UK Government; Bill and Melinda Gates Foundation","keywords":"Capacity building; Excellence; Business; Public relations; Process (computing); Psychological intervention; Health care; Commission; Knowledge management; Medicine; Political science; Economic growth; Nursing; Economics; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2411999,0.006848738,0.009923564,0.02215841,0.01105234,0.04053995,0.01998078,0.02604591,0.01941067],"category_scores_gemma":[0.1688985,0.003366401,0.009028279,0.01979618,0.02902532,0.05377463,0.03119994,0.02395924,0.002958728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06621104,"about_ca_system_score_gemma":0.2039422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05436876,"about_ca_topic_score_gemma":0.08512507,"domain_scores_codex":[0.8526003,0.1172573,0.01078758,0.004563492,0.006539016,0.00825243],"domain_scores_gemma":[0.684389,0.2436045,0.0114835,0.008027594,0.03321127,0.01928412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002164922,0.0007117246,0.003478703,0.03667964,0.0005096918,0.0009492814,0.01646356,0.00796501,0.0001777007,0.7199659,0.05548025,0.1574021],"study_design_scores_gemma":[0.0003538244,0.0002354431,0.00193755,0.1472801,0.0004829171,0.0003128099,0.04401648,0.006695605,0.0002999617,0.6765144,0.1215094,0.0003614372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002290349,0.1492157,0.06856865,0.7454696,0.003096157,0.006278643,0.000712952,0.0003284681,0.0240395],"genre_scores_gemma":[0.123325,0.183768,0.5813315,0.07044004,0.002067175,0.03322348,0.001435654,0.0001756003,0.00423357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2411999,"threshold_uncertainty_score":0.9357356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7418118326039305,"score_gpt":0.5870512115667909,"score_spread":0.1547606210371396,"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."}}