{"id":"W1974015356","doi":"10.1177/1367493513496909","title":"Comparison of utility scores from the Visual Analog Scale and Health Utilities Index 3 in children following pediatric intensive care unit admission","year":2013,"lang":"en","type":"article","venue":"Journal of Child Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Visual analogue scale; Intraclass correlation; Confidence interval; Pediatric intensive care unit; Health Utilities Index; Quality of life (healthcare); Intensive care unit; Health related quality of life; Emergency medicine; Pediatrics; Physical therapy; Intensive care medicine; Psychometrics; Nursing; Internal medicine; Clinical psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.005352542,0.0002144279,0.001725674,0.0004569424,0.0003468473,0.00005864649,0.0003096613,0.0001453674,0.00008397114],"category_scores_gemma":[0.001348172,0.0001953595,0.0002022357,0.000283153,0.00007694179,0.0004234001,0.00008805894,0.0006685284,0.00001387568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005625391,"about_ca_system_score_gemma":0.0009196099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191039,"about_ca_topic_score_gemma":0.002683458,"domain_scores_codex":[0.9931732,0.0006694517,0.005169634,0.0003342443,0.0002202563,0.0004331606],"domain_scores_gemma":[0.9933161,0.0006340336,0.004882812,0.0003097067,0.0004709221,0.0003863986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001924294,0.0000374508,0.9590607,0.0002914364,0.00003413682,1.771443e-7,0.03449062,0.00004121367,3.28136e-8,0.00007059667,0.004805969,0.001148414],"study_design_scores_gemma":[0.001020635,0.0002921101,0.9150662,0.0004369856,0.000008202494,0.00000402479,0.08183593,0.0003790854,9.780897e-7,0.0004234287,0.0004052022,0.0001272076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710905,0.09129646,0.00008666717,0.03602904,0.0004015702,0.0008050016,0.0002136047,0.000007911165,0.00006926046],"genre_scores_gemma":[0.9856474,0.001015844,0.0002061114,0.01259552,0.0004470712,0.000009192052,0.00005425033,0.00002138443,0.000003187529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114557,"threshold_uncertainty_score":0.9874279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852165059038302,"score_gpt":0.4516939121973783,"score_spread":0.2664774062935482,"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."}}