{"id":"W2412873720","doi":"10.1017/bca.2015.4","title":"The Curiously Continuing Saga of Choosing the Measure of Welfare Changes","year":2015,"lang":"en","type":"article","venue":"Journal of Benefit-Cost Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Willingness to accept; Compensation (psychology); Value (mathematics); Valuation (finance); Welfare; Contingent valuation; Willingness to pay; Measure (data warehouse); Estimation; Public economics; Microeconomics; Econometrics; Actuarial science; Statistics; Psychology; Social psychology; Computer science; Mathematics; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06728905,0.001794002,0.003944955,0.006678769,0.004150905,0.0127175,0.007424605,0.01040832,0.004456911],"category_scores_gemma":[0.1280674,0.0007846454,0.001693175,0.0061319,0.04972444,0.02232524,0.006538946,0.03027693,0.002908928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005433124,"about_ca_system_score_gemma":0.002929043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349189,"about_ca_topic_score_gemma":0.002325544,"domain_scores_codex":[0.9567001,0.02047361,0.003308983,0.007582338,0.01135606,0.0005788291],"domain_scores_gemma":[0.9077524,0.05808138,0.004674442,0.01095619,0.0163664,0.00216921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001099006,0.00006525184,0.001693094,0.0005643789,0.0001076411,0.00003552543,0.0008455327,0.0007747173,0.000330052,0.9265087,0.02660375,0.04236143],"study_design_scores_gemma":[0.0000182693,0.00008263787,0.001100851,0.0006450111,0.00003279921,0.0001429698,0.001108157,0.001814312,0.0003130452,0.9427261,0.05193728,0.00007860779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01194564,0.05446625,0.2839749,0.591747,0.01393064,0.000154207,0.0006883516,0.0003468618,0.04274616],"genre_scores_gemma":[0.4260174,0.05067153,0.2971983,0.1787194,0.03218123,0.001208701,0.0006737857,0.0009783173,0.01235136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06728905,"threshold_uncertainty_score":0.3558627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08825541393482839,"score_gpt":0.2280333230950644,"score_spread":0.139777909160236,"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."}}