{"id":"W3122135500","doi":"10.1287/mnsc.1120.1627","title":"Revenue Sharing and Information Leakage in a Supply Chain","year":2012,"lang":"en","type":"article","venue":"Management Science","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue sharing; Revenue; Business; Incentive; Private information retrieval; Supply chain; Information leakage; Information sharing; Leakage (economics); Microeconomics; Revenue management; Industrial organization; Yield management; Revenue assurance; Information asymmetry; Order (exchange); Marginal revenue; Economics; Revenue model; Marketing; Finance; Computer science","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":[0.01205501,0.0007601699,0.00126908,0.001337839,0.001731308,0.004867193,0.001676865,0.00257432,0.004848821],"category_scores_gemma":[0.03972088,0.0009114345,0.001280083,0.00240303,0.005541815,0.01285008,0.005251301,0.002570776,0.0004201302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003153221,"about_ca_system_score_gemma":0.002487902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670116,"about_ca_topic_score_gemma":0.000752185,"domain_scores_codex":[0.9874149,0.006766321,0.0006676749,0.001127108,0.002471684,0.001552357],"domain_scores_gemma":[0.9536924,0.02929504,0.007943404,0.005927667,0.002249899,0.0008915127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000413001,0.0001806892,0.004156531,0.0001791077,0.0001405323,0.00077367,0.000912555,0.3020506,0.00205399,0.6519971,0.001014556,0.0361276],"study_design_scores_gemma":[0.00006560742,0.0001634361,0.0009508667,0.00008892918,0.00007517195,0.0002924846,0.0003172905,0.4090382,0.001826596,0.5846375,0.002460546,0.00008334484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3088233,0.001159748,0.6621968,0.003297586,0.00008499077,0.0001645882,0.0001855116,0.0002260521,0.02386143],"genre_scores_gemma":[0.9877053,0.0003020896,0.009832663,0.0001055955,0.00003740867,0.00003440367,0.00002195247,0.0000206902,0.001939822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01205501,"threshold_uncertainty_score":0.06375372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443093294210439,"score_gpt":0.2169117084117767,"score_spread":0.2024807754696723,"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."}}