{"id":"W2140131049","doi":"10.1002/9781118445112.stat04913","title":"Time Trade‐Off Technique","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Time-trade-off; Preference; Value (mathematics); Quality-adjusted life year; Quality of life (healthcare); Section (typography); Quality (philosophy); Computer science; Econometrics; Actuarial science; Operations research; Statistics; Mathematics; Medicine; Economics; Machine learning; Cost effectiveness","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005200592,0.0008185326,0.002727254,0.0009795765,0.000153856,0.0001219507,0.0008910812,0.0009442478,0.01869477],"category_scores_gemma":[0.002638512,0.001018784,0.0001440725,0.0002788808,0.0003339182,0.0001392096,0.0001334006,0.0008689094,0.01739522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969055,"about_ca_system_score_gemma":0.0004346147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007729209,"about_ca_topic_score_gemma":0.000775412,"domain_scores_codex":[0.9918245,0.0005208026,0.005022207,0.001413619,0.0002869926,0.0009318796],"domain_scores_gemma":[0.9919032,0.001046447,0.005010672,0.001480275,0.00007929723,0.0004801239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008659854,0.0001818984,0.000092952,0.0006675802,0.0001250437,0.000006382861,0.00009924606,0.00001046293,0.000002444862,0.09258916,0.9046795,0.001536667],"study_design_scores_gemma":[0.0005746972,0.0001841239,0.0001785609,0.0007484782,0.00003090126,0.000009772924,0.00005739721,0.002718038,9.985524e-7,0.02187755,0.9725648,0.001054754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00002900862,0.01008973,0.3737892,0.008214099,0.001626965,0.004142127,0.2581235,0.001148724,0.3428367],"genre_scores_gemma":[0.0001786909,0.006567524,0.3530131,0.009473858,0.002297672,0.0005640144,0.02158826,0.001845937,0.604471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2616343,"threshold_uncertainty_score":0.9992263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2256196844350602,"score_gpt":0.4180612145235842,"score_spread":0.192441530088524,"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."}}