{"id":"W2470264367","doi":"10.1111/poms.12578","title":"Gray Markets and Supply Chain Incentives","year":2016,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; University of International Business and Economics","keywords":"Grey market; Incentive; Business; Cannibalization; Gray (unit); Valuation (finance); Industrial organization; Commerce; Economics; Microeconomics; Market economy; Finance","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":[0.000261154,0.00006442265,0.00009679221,0.0001833031,0.0001620898,0.00006588807,0.00003521215,0.00001357527,0.0008000096],"category_scores_gemma":[0.00002588739,0.00005361214,0.00002074893,0.0001253746,0.00004156287,0.0001959506,0.00004034089,0.0000194184,0.0001130547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001682548,"about_ca_system_score_gemma":0.000001317594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128734,"about_ca_topic_score_gemma":0.00002937852,"domain_scores_codex":[0.9993978,0.00001433999,0.0001886891,0.0002939812,0.00002120413,0.00008402344],"domain_scores_gemma":[0.9997676,0.000003971378,0.00003146435,0.0001426046,0.00001693867,0.00003739719],"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":[0.000009173292,0.00007468866,0.02908389,0.00002679584,0.00009553425,7.560515e-7,0.0002073116,0.00001595524,0.00009011803,0.943059,0.003015938,0.0243209],"study_design_scores_gemma":[0.00102217,0.00005582206,0.4379537,0.00007407705,0.00005019231,0.000008512511,0.0007359979,0.001765129,0.0004838293,0.02739584,0.5298803,0.0005743833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6601862,0.006435162,0.0972489,0.1032262,0.002087289,0.001350878,0.00009671934,0.0002144719,0.1291541],"genre_scores_gemma":[0.9673664,0.004773124,0.0009046968,0.0001859003,0.00006527724,0.00004611735,0.000005364643,0.000005042294,0.02664808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9156631,"threshold_uncertainty_score":0.8759544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241121273947628,"score_gpt":0.1992142645603235,"score_spread":0.1868030518208472,"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."}}