{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004008823,0.0001611196,0.0002033366,0.00008562586,0.0006406512,0.000413962,0.0006669035,0.00002388333,0.0001321684],"category_scores_gemma":[0.002678041,0.0001126674,0.00004203317,0.001377671,0.0001821352,0.0009064394,0.0005405686,0.0002055878,0.000008267506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190487,"about_ca_system_score_gemma":0.00003328005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005173998,"about_ca_topic_score_gemma":0.0009894767,"domain_scores_codex":[0.9982555,0.0001326913,0.0003208304,0.0004974875,0.0004895317,0.0003039407],"domain_scores_gemma":[0.9984175,0.0007816028,0.0002554629,0.0003621712,0.000150684,0.00003260217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009427224,0.0001100821,0.9089817,0.00005355104,0.000006613743,0.0002802273,0.00123951,0.00001203034,0.004105504,0.000002902888,0.00004847101,0.0850651],"study_design_scores_gemma":[0.0008241425,0.00007716198,0.9502288,0.00009290721,0.0001681814,0.00002536118,0.01513973,0.032574,0.0001880049,0.000008107597,0.0003857089,0.0002878883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976838,0.00003295279,0.000009265174,0.0003245582,0.0001566027,0.0004976495,0.000003669555,0.00008690486,0.001204636],"genre_scores_gemma":[0.9988833,4.159744e-7,0.0001710305,0.0005227514,0.000382835,0.00001250264,0.000003725396,0.0000154457,0.000007979571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08477722,"threshold_uncertainty_score":0.7821572,"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."}}