{"id":"W2142959166","doi":"10.1287/msom.1120.0376","title":"Markdown Pricing with Unknown Fraction of Strategic Customers","year":2012,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of North Carolina at Chapel Hill","keywords":"Revenue management; Revenue; Microeconomics; Business; Dynamic pricing; Marketing; Pricing strategies; Economics; Industrial organization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004733237,0.0003259385,0.0002829035,0.0005511911,0.000361175,0.0003024273,0.0003477341,0.00005633444,0.0008320462],"category_scores_gemma":[0.000003415233,0.0002796364,0.00007216323,0.0005747015,0.00003575186,0.002154744,0.0002932172,0.0001576284,0.0004495074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297845,"about_ca_system_score_gemma":0.00001045328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315126,"about_ca_topic_score_gemma":0.0003456265,"domain_scores_codex":[0.9981406,0.00002033497,0.0004408143,0.0003573368,0.000508287,0.0005326279],"domain_scores_gemma":[0.9990982,0.00001528524,0.0002072144,0.000520889,0.0001195269,0.00003886934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005181491,0.0036407,0.0181534,0.01028623,0.002251175,0.0000618839,0.001657429,0.2742032,0.001216353,0.6363456,0.006815315,0.04485059],"study_design_scores_gemma":[0.006019999,0.0001630194,0.135054,0.0009729213,0.002173982,0.00001244538,0.04474765,0.04800012,0.008814219,0.001761626,0.748933,0.003346944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407165,0.00006333263,0.00243225,0.001090546,0.0005242763,0.00107221,0.000001817763,0.0002405108,0.2538586],"genre_scores_gemma":[0.9937222,0.0000197554,0.001531506,0.002625618,0.0005566929,0.000125136,0.00008770608,0.00005117283,0.00128024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7421177,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642153921156696,"score_gpt":0.2232165883740948,"score_spread":0.1967950491625279,"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."}}