{"id":"W4293147088","doi":"10.1016/j.jeem.2022.102659","title":"Using economic experiments to assess the validity of stated preference contingent behavior responses","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Prion Research Institute; Genome Alberta; University of Alberta; Alberta Agriculture and Forestry; Genome Canada","keywords":"Economics; Framing (construction); Incentive; Incentive compatibility; Framing effect; Microeconomics; Recreation; Loss aversion; Psychology; Econometrics; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123728,0.000146553,0.000348396,0.0001743467,0.0001936069,0.00003996406,0.0002972186,0.00002425449,0.0006764517],"category_scores_gemma":[0.000003910754,0.0001551744,0.0001144897,0.00002581071,0.00007445807,0.000202717,0.0004759346,0.0001084663,0.00001935021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007753448,"about_ca_system_score_gemma":0.00001146195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003172218,"about_ca_topic_score_gemma":0.000002873955,"domain_scores_codex":[0.9985043,0.0000555491,0.000961945,0.0002540358,0.00004606757,0.0001780968],"domain_scores_gemma":[0.9986203,0.00003771962,0.001022837,0.0002303592,0.000001957542,0.00008688372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005519899,0.001451732,0.8382944,0.00005652042,0.0009378281,0.00002213586,0.002325154,0.09974534,0.003357253,0.04562913,0.0007355668,0.006892881],"study_design_scores_gemma":[0.00222241,0.0008930048,0.9363018,0.00001493755,0.000141359,0.00005963979,0.004312393,0.003983116,0.001646267,0.002175527,0.04773965,0.0005098407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997384,0.0003414086,0.0003559339,0.0001438344,0.0004429798,0.000428329,0.0002846878,0.000002131068,0.0006167708],"genre_scores_gemma":[0.9961566,0.001940787,0.001381352,0.0001775796,0.00003256284,0.00004408055,0.00000666501,0.00002014338,0.0002402329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09800739,"threshold_uncertainty_score":0.7406672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3254650109129861,"score_gpt":0.285365349081583,"score_spread":0.04009966183140318,"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."}}