{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009053349,0.000157437,0.0001532343,0.001189082,0.0005515685,0.0004571799,0.0005882581,0.00004081405,0.0003393601],"category_scores_gemma":[0.001232605,0.0001537364,0.00005157463,0.004557852,0.0004538019,0.001146066,0.0004488743,0.0002465156,0.0002687108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606912,"about_ca_system_score_gemma":0.0001011078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002643805,"about_ca_topic_score_gemma":0.000111662,"domain_scores_codex":[0.9977755,0.00006779411,0.0002775324,0.0005255351,0.0006154842,0.0007381422],"domain_scores_gemma":[0.9992062,0.0003094422,0.00006881661,0.0003192953,0.00006590386,0.00003029975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005168041,0.00008079745,0.8609992,0.0002230258,0.000003167671,0.00008025411,0.0002431401,0.0000171143,0.008824654,0.000730249,0.002191572,0.1265551],"study_design_scores_gemma":[0.000212796,0.000001576313,0.9855057,0.000120153,0.00001174075,0.000003102545,0.0004773207,0.007970895,0.00006255104,0.0001203678,0.00530322,0.00021057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476262,0.00003200907,0.000009634554,0.001328847,0.0004336959,0.0002570151,0.000001519052,0.0002700532,0.05004107],"genre_scores_gemma":[0.9990736,0.000009462568,0.00006809431,0.0002024904,0.00009682593,0.00003073883,0.000005250489,0.00001970887,0.0004938393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263445,"threshold_uncertainty_score":0.626919,"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."}}