{"id":"W2092038984","doi":"10.1177/0272989x0002000304","title":"Comparison of Finnish and U.S.-based Visual Analog Scale Valuations of the EQ-5D Measure","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"EQ-5D; Time-trade-off; Visual analogue scale; Scale (ratio); Dimension (graph theory); Preference; Ordinary least squares; Quality of life (healthcare); Econometrics; Index (typography); Logistic regression; Measure (data warehouse); Statistics; Health related quality of life; Actuarial science; Medicine; Mathematics; Computer science; Economics; Geography; Data mining","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01302675,0.0001207858,0.0008338084,0.000183483,0.0001783096,0.00002506825,0.0003520085,0.0001867755,0.003769098],"category_scores_gemma":[0.008445861,0.0001117592,0.0001336987,0.0003397265,0.0002240939,0.0001083439,0.00005852702,0.0002120682,0.0001188459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009021158,"about_ca_system_score_gemma":0.0002183543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009738827,"about_ca_topic_score_gemma":0.0001561441,"domain_scores_codex":[0.9952631,0.0003663073,0.003342551,0.0003353877,0.0004777425,0.0002149243],"domain_scores_gemma":[0.9955311,0.002633498,0.001203437,0.0004025469,0.00009330564,0.0001360976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008083437,0.0005025648,0.829214,0.0002824239,0.00006184357,7.252218e-7,0.001556036,0.003101344,0.00001332475,0.006835401,0.01808898,0.1402625],"study_design_scores_gemma":[0.001680156,0.0001752091,0.6024308,0.001279038,0.00002565388,0.000004172282,0.0004267642,0.3650728,0.00005560406,0.0173917,0.01117105,0.0002871153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956986,0.001406947,0.031217,0.007356282,0.0003084851,0.0003589545,0.00008019974,0.00001600858,0.002270123],"genre_scores_gemma":[0.9935871,0.00002359541,0.003753002,0.002444283,0.00008376667,0.00001437296,0.000004936985,0.00001365235,0.0000752541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3619714,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4276083411227394,"score_gpt":0.4911077379863579,"score_spread":0.0634993968636185,"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."}}