{"id":"W4385582538","doi":"10.1177/00222429231195564","title":"Measuring Willingness to Pay: A Comparative Method of Valuation","year":2023,"lang":"en","type":"article","venue":"Journal of Marketing","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada); Concordia University","funders":"","keywords":"Willingness to pay; Ambiguity; Conceptualization; CLARITY; Valuation (finance); Situational ethics; Conjoint analysis; Contingent valuation; Computer science; Preference; Econometrics; Economics; Microeconomics; Psychology; Social psychology; Artificial intelligence","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":[0.03446418,0.001204712,0.001712339,0.007380189,0.001140782,0.005880832,0.003005094,0.002296123,0.008713497],"category_scores_gemma":[0.1033165,0.0005348081,0.00186255,0.01104351,0.003887949,0.006870122,0.003778122,0.003375528,0.0009013368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448423,"about_ca_system_score_gemma":0.002554301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378498,"about_ca_topic_score_gemma":0.001176224,"domain_scores_codex":[0.9379396,0.04871991,0.001594084,0.003316078,0.007934356,0.0004959977],"domain_scores_gemma":[0.9452475,0.04289205,0.002496005,0.00532591,0.003642778,0.0003957995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001411934,0.0002674923,0.003942275,0.0007660348,0.0003770331,0.0001020882,0.002599486,0.01069933,0.001256584,0.7380399,0.003879169,0.2379295],"study_design_scores_gemma":[0.000142158,0.0005303575,0.00786938,0.00074736,0.000211715,0.0006579004,0.002156371,0.0829538,0.002096775,0.8511146,0.05124329,0.0002763466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01104275,0.001054229,0.959327,0.00081717,0.000288061,0.001092418,0.0003788068,0.0001185825,0.025881],"genre_scores_gemma":[0.2597666,0.001038732,0.7328222,0.0004062739,0.0001869106,0.003192587,0.0002993494,0.0001076139,0.00217979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03446418,"threshold_uncertainty_score":0.1822662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.322584910119521,"score_gpt":0.302345422817855,"score_spread":0.02023948730166597,"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."}}