{"id":"W4320483817","doi":"10.1007/s40271-023-00615-0","title":"Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment","year":2023,"lang":"en","type":"article","venue":"Patient","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Medicines Initiative; Newcastle University; Muscular Dystrophy Canada; Wellcome Trust; Lily Foundation; United Mitochondrial Disease Foundation; Muscular Dystrophy Association","keywords":"Mixed logit; Multinomial logistic regression; Latent class model; Discrete choice; Framing effect; Cognition; Preference; Statistics; Multinomial distribution; Econometrics; Psychology; Logistic regression; Mathematics; Social psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1176243,0.001713861,0.002802148,0.002262846,0.001163527,0.002582615,0.001861473,0.002229937,0.01297128],"category_scores_gemma":[0.2658548,0.000767118,0.004535098,0.002566813,0.003789497,0.003234491,0.002247736,0.004025167,0.0007260657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766062,"about_ca_system_score_gemma":0.001559983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007916047,"about_ca_topic_score_gemma":0.0006159123,"domain_scores_codex":[0.8121144,0.1698633,0.004855853,0.004975061,0.007138439,0.001053023],"domain_scores_gemma":[0.4163105,0.5552921,0.01506283,0.007840393,0.003993513,0.001500613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2112067,0.04435189,0.1348781,0.007606349,0.01427475,0.0008960509,0.01637328,0.06074597,0.0078845,0.04594779,0.008975388,0.4468593],"study_design_scores_gemma":[0.0249524,0.1162001,0.1796314,0.001444832,0.003046162,0.0004883595,0.006229506,0.560868,0.008756493,0.08501903,0.01235499,0.001008825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8381628,0.0007369264,0.1383776,0.0008456429,0.001045373,0.01278476,0.001307828,0.0003995231,0.006339606],"genre_scores_gemma":[0.8227304,0.000253077,0.145544,0.0004581662,0.0002083405,0.02888681,0.0005877794,0.00009270905,0.001238673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176243,"threshold_uncertainty_score":0.6220639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274142382486819,"score_gpt":0.2747183865100308,"score_spread":0.1473041482613489,"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."}}