{"id":"W2132095645","doi":"10.1086/586913","title":"Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?","year":2008,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Discrete choice; Econometrics; Computer science; Microeconomics; Management science; Mathematical economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002467765,0.0001268358,0.0003770815,0.0004123629,0.0003653361,0.00006454087,0.0003429778,0.00008577981,0.001904636],"category_scores_gemma":[0.0002508672,0.0001314632,0.0001428368,0.0001776892,0.0002642436,0.0005199081,0.0001470385,0.000410816,0.001160992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006423598,"about_ca_system_score_gemma":0.00006037468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004820725,"about_ca_topic_score_gemma":0.000001507959,"domain_scores_codex":[0.9981981,0.0001137864,0.0008414715,0.0002417758,0.0001817135,0.0004231773],"domain_scores_gemma":[0.9987061,0.0003091011,0.0004742742,0.0002343991,0.00006816257,0.000207954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001445381,0.0001810931,0.9851255,0.00001714773,0.0002050179,0.00006297657,0.001743577,0.0005978488,0.003366085,0.001438461,0.006807311,0.0003103812],"study_design_scores_gemma":[0.007169408,0.0014103,0.8188431,0.0001590416,0.00002989892,0.0008687443,0.001358845,0.001895799,0.01610686,0.003232773,0.1479361,0.0009891737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981196,0.007755588,0.004945349,0.0002366959,0.0001674787,0.0001899409,0.000011116,0.00000586179,0.005491932],"genre_scores_gemma":[0.9917412,0.001701526,0.004505956,0.00005090559,0.0001221968,0.00001421651,0.000002612784,0.00002703085,0.001834312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662825,"threshold_uncertainty_score":0.9996167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4150813394674372,"score_gpt":0.3643871523787727,"score_spread":0.05069418708866452,"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."}}