{"id":"W4313558362","doi":"10.1287/mksc.2022.1380","title":"Discriminatory Trade Promotions in Consumer Search Markets","year":2023,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Price discrimination; Economics; Marketing; Microeconomics; Industrial organization; Advertising","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":[0.003417995,0.0003179686,0.0006482491,0.0009673522,0.001406324,0.003380104,0.0003923996,0.001536375,0.01054742],"category_scores_gemma":[0.01504163,0.000297565,0.0005506956,0.001043953,0.004932328,0.00357715,0.001850638,0.002548373,0.0004501922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189284,"about_ca_system_score_gemma":0.0009159711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074092,"about_ca_topic_score_gemma":0.001973377,"domain_scores_codex":[0.997804,0.0007558309,0.00009027534,0.0002303723,0.0007117526,0.0004077445],"domain_scores_gemma":[0.9816806,0.01131782,0.004495597,0.001025811,0.0006131157,0.0008669675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001974891,0.001386169,0.04487765,0.0005794481,0.00009343834,0.0008690561,0.00296277,0.01201794,0.004901638,0.8545895,0.004561698,0.07118577],"study_design_scores_gemma":[0.0006413038,0.001442273,0.1487699,0.0004298679,0.0002521163,0.001680946,0.003657582,0.04871239,0.007101397,0.76196,0.02511711,0.0002351123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.784425,0.00264289,0.016868,0.003312044,0.0001539297,0.0001061363,0.0001149853,0.00006869898,0.1923084],"genre_scores_gemma":[0.9973447,0.0002494421,0.0003068559,0.0001264686,0.00004105889,0.000008053969,0.000008030884,0.00000418542,0.001911277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01054742,"threshold_uncertainty_score":0.03528464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372991826119377,"score_gpt":0.2824051638529289,"score_spread":0.2451059812409911,"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."}}