{"id":"W3182875296","doi":"10.1017/s0266462321000453","title":"Considering and communicating uncertainty in health technology assessment","year":2021,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Treasury Board of Canada Secretariat","funders":"Radboud Universitair Medisch Centrum; Gastroenterological Society of Australia; Zorginstituut Nederland; Multiple System Atrophy Coalition; Boston Scientific Corporation; BioMarin Pharmaceutical; Health Technology Assessment international; Patient-Centered Outcomes Research Institute","keywords":"Health technology; Context (archaeology); Stakeholder; Risk analysis (engineering); Management science; Political science; Business; Public relations; Economics; Health care","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2423932,0.001627423,0.001895334,0.004072491,0.01972728,0.03032779,0.004623058,0.01913891,0.004662365],"category_scores_gemma":[0.2712804,0.001285675,0.002107799,0.003173873,0.0418845,0.03284091,0.02344799,0.02516034,0.0006476695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01927292,"about_ca_system_score_gemma":0.02728405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218764,"about_ca_topic_score_gemma":0.002217883,"domain_scores_codex":[0.5941338,0.3565175,0.01129901,0.005603014,0.02662004,0.005826732],"domain_scores_gemma":[0.3926294,0.5676982,0.01436448,0.006402881,0.01525878,0.003646168],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001983934,0.0001297708,0.002927154,0.002526741,0.0003181398,0.002309578,0.2633766,0.007950435,0.001880985,0.6085774,0.02512556,0.08467921],"study_design_scores_gemma":[0.00004102422,0.0001416414,0.0008474616,0.006462754,0.000127113,0.0005901168,0.1101243,0.005462896,0.001825242,0.6722205,0.2019272,0.0002297447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.03531706,0.01521044,0.1529103,0.7204837,0.004809673,0.0006618323,0.0001584809,0.0001858647,0.07026269],"genre_scores_gemma":[0.8777769,0.009204111,0.05379283,0.05160016,0.003686605,0.0006870176,0.00008567204,0.0001323318,0.003034458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7576068,"threshold_uncertainty_score":0.9342641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2027435072191348,"score_gpt":0.5074481686434463,"score_spread":0.3047046614243116,"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."}}