{"id":"W2935956843","doi":"10.1177/0272989x19841592","title":"Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Institutes of Health Research; EuroQol Research Foundation","keywords":"Latent class model; Anxiety; Time-trade-off; Psychology; Correlation; Multivariate statistics; Econometrics; Discrete choice; EQ-5D; Statistics; Medicine; Mathematics; Quality of life (healthcare); Psychiatry; Health related quality of life","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000995403,0.0001460703,0.0003828169,0.00009887433,0.00007236114,0.00005942095,0.0002310318,0.0001638741,0.004333737],"category_scores_gemma":[0.0001299683,0.0001387112,0.00007132074,0.00006350283,0.0000560172,0.0002821609,0.0001723889,0.0001829984,0.002303191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075402,"about_ca_system_score_gemma":0.00001108196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141708,"about_ca_topic_score_gemma":0.000005095021,"domain_scores_codex":[0.9984008,0.00002446678,0.0006735934,0.0004854591,0.000167595,0.0002480863],"domain_scores_gemma":[0.9990618,0.0003437665,0.000217951,0.0002171043,0.000004882015,0.0001545605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001732518,0.00004937423,0.8858201,0.00002605612,0.00005576171,0.000001953409,0.0002027954,0.0007304655,0.00001087477,0.0111874,0.001193676,0.1007042],"study_design_scores_gemma":[0.0009489048,0.0001490996,0.7722932,0.0001793371,0.00001274692,0.000002820931,0.00003143816,0.1089523,0.000006053147,0.112675,0.004442326,0.0003069223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736552,0.0004925499,0.01174874,0.0007111827,0.0002176506,0.0002403558,0.00004129268,0.00001790469,0.01287513],"genre_scores_gemma":[0.99695,0.0001281206,0.001363912,0.0004001719,0.0001161508,0.00001002612,0.00002106792,0.00001529703,0.0009952048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113527,"threshold_uncertainty_score":0.9984736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103251205605709,"score_gpt":0.2653933828694856,"score_spread":0.1550682623089147,"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."}}