{"id":"W3046925189","doi":"10.1287/mksc.2020.1231","title":"Profiting from the Decoy Effect: A Case Study of an Online Diamond Retailer","year":2020,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Decoy; Diamond; Marketing; Business; Industrial organization; Microeconomics; Advertising; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688732,0.0003610458,0.0004304202,0.0009123533,0.004930739,0.002292824,0.001274843,0.002897741,0.005460908],"category_scores_gemma":[0.005116078,0.0002512182,0.0005111636,0.0009580344,0.002699099,0.002825984,0.002390031,0.00196771,0.0006531193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051953,"about_ca_system_score_gemma":0.001357544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007693634,"about_ca_topic_score_gemma":0.02197623,"domain_scores_codex":[0.9988821,0.0005218516,0.00003205884,0.0001139793,0.0002469255,0.0002030563],"domain_scores_gemma":[0.9924891,0.005295021,0.0005411885,0.0005230775,0.0003486882,0.0008029816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002181479,0.01653381,0.3596517,0.001177069,0.0002964706,0.1690606,0.1237811,0.02295838,0.01249076,0.1173604,0.02165045,0.1528578],"study_design_scores_gemma":[0.0006675685,0.00621117,0.1592573,0.0005323046,0.0002478852,0.05694295,0.5003035,0.1010903,0.01785375,0.05423286,0.1020555,0.0006049963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862157,0.00008165953,0.001758724,0.0006763454,0.00001189475,0.00008806534,0.00007151378,0.00002266451,0.01107338],"genre_scores_gemma":[0.9921499,0.0001228216,0.002698775,0.0001431638,0.00001126916,0.00002778971,0.00004365961,0.00001715749,0.004785463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007693634,"threshold_uncertainty_score":0.01826859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087028983882487,"score_gpt":0.2734915420644944,"score_spread":0.2326212522256696,"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."}}