{"id":"W3174615012","doi":"10.1186/s12962-021-00290-8","title":"Assessing the performance of health technology assessment (HTA) agencies: developing a multi-country, multi-stakeholder, and multi-dimensional framework to explore mechanisms of impact","year":2021,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Thailand Research Fund; Bill and Melinda Gates Foundation","keywords":"Health technology; Rigour; Agency (philosophy); Stakeholder; Health services research; Health care; Scope (computer science); Medicine; Health administration; Health economics; Impact assessment; Impact evaluation; Process management; Knowledge management; Public relations; Business; Public health; Political science; Computer science; Sociology; Economics; Public administration; Nursing; Economic growth","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":["metaresearch"],"category_scores_codex":[0.2160956,0.002944905,0.002881557,0.02809951,0.007678571,0.03558791,0.005108281,0.005224166,0.004658136],"category_scores_gemma":[0.1898597,0.00122885,0.004218153,0.02108912,0.02542235,0.03256379,0.02516753,0.006133358,0.0004374093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04796754,"about_ca_system_score_gemma":0.03266908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258184,"about_ca_topic_score_gemma":0.009887232,"domain_scores_codex":[0.7009923,0.2453928,0.01379904,0.00621454,0.02527859,0.008322714],"domain_scores_gemma":[0.6684985,0.2608753,0.02850333,0.01011084,0.02778935,0.004222693],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002778504,0.000633656,0.07905241,0.008524318,0.001298739,0.0008990887,0.09214521,0.03444391,0.001556499,0.5891543,0.004649499,0.1873645],"study_design_scores_gemma":[0.0001594513,0.001042375,0.05609092,0.01372509,0.001417569,0.0007327613,0.3017532,0.05578049,0.004167097,0.5034546,0.06108841,0.0005880573],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.251681,0.009683054,0.4651084,0.05212428,0.000329359,0.01159867,0.002148877,0.0005581829,0.2067682],"genre_scores_gemma":[0.8614609,0.001489641,0.1328996,0.0007155801,0.0000398105,0.002439985,0.0002653337,0.00004371816,0.0006454052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7839044,"threshold_uncertainty_score":0.9666936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4405845436038657,"score_gpt":0.482415850021064,"score_spread":0.04183130641719823,"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."}}