{"id":"W2017192712","doi":"10.1002/hec.1351","title":"Impact of the recall period on measuring health utilities for acute events","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre for Advancing Health Outcomes; St. Paul's Hospital","funders":"Medical Research Council; Medical Research Council Canada; Office of Research and Development; U.S. Department of Veterans Affairs","keywords":"Recall; Respondent; Preference; Psychological intervention; Medicine; Period (music); Adverse effect; Psychology; Demography; Cognitive psychology; Statistics; Psychiatry; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1429946,0.001167749,0.0019303,0.001123887,0.0006844166,0.001912438,0.001097407,0.001609271,0.003183593],"category_scores_gemma":[0.2734497,0.0006382351,0.004735843,0.002843759,0.001065697,0.001650195,0.001323509,0.002637726,0.0005272912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291808,"about_ca_system_score_gemma":0.001386488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638338,"about_ca_topic_score_gemma":0.002054617,"domain_scores_codex":[0.8437104,0.1280952,0.01156976,0.003267844,0.01224595,0.00111064],"domain_scores_gemma":[0.5775737,0.3559076,0.02571026,0.03292064,0.007059155,0.0008286898],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05849957,0.003670882,0.3486194,0.005449134,0.008985315,0.0003017061,0.00265946,0.01939501,0.003017576,0.007734271,0.008656208,0.5330114],"study_design_scores_gemma":[0.005183757,0.03470864,0.8733359,0.00246917,0.008082317,0.001478724,0.001122743,0.02909119,0.01191708,0.009974346,0.02191588,0.0007203172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806673,0.02500552,0.1515916,0.004614774,0.002206179,0.009523083,0.00880948,0.0004965903,0.01708555],"genre_scores_gemma":[0.9143792,0.002962602,0.06815095,0.00160921,0.0006422668,0.007458013,0.002827664,0.00008910526,0.001881096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8570054,"threshold_uncertainty_score":0.7562367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5742567841823347,"score_gpt":0.4838128055144137,"score_spread":0.09044397866792098,"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."}}