{"id":"W3024185595","doi":"10.1016/j.jval.2020.03.003","title":"Estimation of an Instrument-Defined Minimally Important Difference in EQ-5D-5L Index Scores Based on Scoring Algorithms Derived Using the EQ-VT Version 2 Valuation Protocols","year":2020,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Queen's University; Queen's University Belfast; Health Research Board","keywords":"Valuation (finance); Statistics; EQ-5D; Index (typography); Mathematics; Standard deviation; Algorithm; Population; Consistency (knowledge bases); Consistency index; Econometrics; Medicine; Computer science; Economics; Finance; Internal medicine; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01279204,0.0002293346,0.0008688185,0.0004796644,0.000171318,0.00006359168,0.0003307137,0.0001327651,0.00003560282],"category_scores_gemma":[0.003091341,0.000247463,0.00006962216,0.0005600449,0.00006199786,0.0004024335,0.00005191587,0.0002965838,0.00002270749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192925,"about_ca_system_score_gemma":0.0009783693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009571603,"about_ca_topic_score_gemma":0.0002559834,"domain_scores_codex":[0.9931557,0.001048174,0.004436456,0.0006365076,0.0002718755,0.0004512891],"domain_scores_gemma":[0.9955142,0.0008016547,0.002974231,0.0004615306,0.00005052613,0.0001979214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002584267,0.00031534,0.3738312,0.001525993,0.00001267452,0.000001856714,0.004001305,0.6113739,0.0001146529,0.004891862,0.00002517164,0.003647667],"study_design_scores_gemma":[0.001537583,0.0005086516,0.1757565,0.0008004791,0.000001819419,6.585945e-7,0.0004290441,0.8186834,0.00009035478,0.002003868,0.00001974978,0.0001679334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680958,0.0001172958,0.01124359,0.01094027,0.0001406271,0.00930459,0.00009315377,0.00003157716,0.00003312458],"genre_scores_gemma":[0.982285,0.00002093301,0.01312745,0.003460079,0.00009121367,0.0009317975,0.00005045829,0.00003132688,0.000001717335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2073095,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4940096939819453,"score_gpt":0.4181612291484216,"score_spread":0.07584846483352364,"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."}}