{"id":"W3097148862","doi":"10.1007/s41669-020-00235-6","title":"Investigation of Factors Considered by Health Technology Assessment Agencies in Eight Countries","year":2020,"lang":"en","type":"article","venue":"PharmacoEconomics - Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacoeconomics; Health technology; Excellence; Economic evaluation; Nice; Medicine; Health economics; Health care; Stakeholder; Transparency (behavior); Family medicine; Economic growth; Political science; Public relations; Economics; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0676342,0.0004431219,0.0006863801,0.008050374,0.003005166,0.008444929,0.001092182,0.001575276,0.002505338],"category_scores_gemma":[0.1826535,0.0004685042,0.001531351,0.01306168,0.002561802,0.002929864,0.004313186,0.001761329,0.000176558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01746432,"about_ca_system_score_gemma":0.01338246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626943,"about_ca_topic_score_gemma":0.007984175,"domain_scores_codex":[0.9015221,0.06199946,0.01491928,0.002569078,0.01323251,0.005757581],"domain_scores_gemma":[0.6415209,0.2335973,0.06972513,0.005216077,0.04344182,0.006498785],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001079989,0.0003907882,0.8579627,0.002557779,0.0007340806,0.001009014,0.03215067,0.002816247,0.0005065654,0.01001904,0.003318917,0.08745423],"study_design_scores_gemma":[0.0001829973,0.001101191,0.826179,0.003086546,0.0006614585,0.0008309876,0.1287567,0.003417376,0.001258238,0.002949849,0.03137347,0.0002021994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675149,0.003930465,0.001269524,0.006509496,0.00005753212,0.0006648456,0.00103854,0.00002725014,0.01898726],"genre_scores_gemma":[0.9976459,0.0005694691,0.0008854563,0.0004050133,0.00001448944,0.000140806,0.0001543228,0.000005247623,0.000179232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9323658,"threshold_uncertainty_score":0.3576881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5166002091916603,"score_gpt":0.5059722978757282,"score_spread":0.0106279113159321,"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."}}