{"id":"W4404033981","doi":"10.1016/j.jval.2024.07.027","title":"Recommendations on the Use of Structured Expert Elicitation Protocols for Healthcare Decision Making: A Good Practices Report of an ISPOR Task Force","year":2024,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"Zorginstituut Nederland","keywords":"Task force; Task (project management); Health care; Expert elicitation; Management science; Knowledge management; Computer science; Engineering; Political science; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01990201,0.0001606686,0.0007320211,0.0005062124,0.0001694545,0.00008499921,0.0002259082,0.0001327518,0.00004454196],"category_scores_gemma":[0.01418599,0.0001552897,0.0001095545,0.0004145139,0.00003890925,0.0007079345,0.00002413691,0.0002095586,0.000011749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531212,"about_ca_system_score_gemma":0.0007992742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006419414,"about_ca_topic_score_gemma":0.0007086305,"domain_scores_codex":[0.992882,0.0008118541,0.005257769,0.0005786725,0.0001548997,0.0003148767],"domain_scores_gemma":[0.9853399,0.007947996,0.00575518,0.0007109919,0.0001452214,0.0001007066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004966183,0.0005759949,0.007769058,0.008432636,0.0001159941,0.000004791035,0.02725831,0.01455262,0.00002715279,0.8785453,0.03463402,0.02758748],"study_design_scores_gemma":[0.00131625,0.002158999,0.01269906,0.007280996,0.000008250934,0.00004520769,0.004661438,0.3505776,0.00006620791,0.1675562,0.453115,0.0005148262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4054792,0.002711409,0.04556167,0.4754255,0.002045934,0.06553347,0.002920815,0.0001395275,0.0001824893],"genre_scores_gemma":[0.850474,0.0002281058,0.1253131,0.01159434,0.000386412,0.01153471,0.0002443755,0.0000917411,0.0001331868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7109891,"threshold_uncertainty_score":0.9941179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7180426693790085,"score_gpt":0.5606838886825213,"score_spread":0.1573587806964872,"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."}}