{"id":"W4226166690","doi":"10.12688/f1000research.23263.2","title":"Health technology assessment capacity at national level in sub-Saharan Africa: an initial survey of stakeholders","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Technology Assessment international; Department for International Development; University of Technology Sydney; Imperial College London; Alexander von Humboldt-Stiftung; Rockefeller Foundation; Department for International Development, UK Government; Bill and Melinda Gates Foundation","keywords":"Stakeholder; Business; Health technology; Capacity building; Stakeholder engagement; Medicine; Knowledge management; Process management; Public relations; Health care; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.07067943,0.0003550641,0.002207524,0.002411762,0.0002293247,0.0001319573,0.001054538,0.0007344905,0.0006758571],"category_scores_gemma":[0.008168736,0.0005134211,0.0001510918,0.0009624361,0.0003876704,0.0003376247,0.001045737,0.001674798,0.0002045872],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005989217,"about_ca_system_score_gemma":0.005781111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03688113,"about_ca_topic_score_gemma":0.05276821,"domain_scores_codex":[0.9875427,0.003390056,0.005915807,0.001452835,0.0006880948,0.001010458],"domain_scores_gemma":[0.9932832,0.001745214,0.002615423,0.001148424,0.0008552129,0.0003524892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866177,0.003011571,0.8199437,0.006514332,0.0006105048,0.00002497689,0.006565692,0.005813798,0.00008606273,0.05794426,0.09738258,0.001915933],"study_design_scores_gemma":[0.001289839,0.0002141858,0.9702408,0.0003637993,0.000002345826,0.000006040056,0.000984201,0.008867386,0.00004799116,0.01429461,0.003103907,0.0005849121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399587,0.004822564,0.001778467,0.03350795,0.0007502202,0.002254676,0.01460448,0.00006526728,0.002257672],"genre_scores_gemma":[0.9913704,0.001007877,0.003596514,0.0007021892,0.0001490016,0.0004713474,0.002416231,0.00007598999,0.000210413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502971,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9046587550342727,"score_gpt":0.5727086040937094,"score_spread":0.3319501509405633,"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."}}