{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001790715,0.0001379047,0.0001084448,0.001003174,0.0002233141,0.0005071983,0.0004550103,0.00002148058,0.0001097004],"category_scores_gemma":[0.00004625187,0.0001372876,0.00002188091,0.001283002,0.0001475555,0.01036705,0.0009347369,0.00008034918,0.0003662742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008448549,"about_ca_system_score_gemma":0.000003390605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002398139,"about_ca_topic_score_gemma":0.00003179271,"domain_scores_codex":[0.9985294,0.000004568933,0.0002444519,0.0002475427,0.000419632,0.0005544127],"domain_scores_gemma":[0.9995528,0.000005737176,0.0001062536,0.000282553,0.0000245519,0.0000281233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001059355,0.00007062295,0.4746693,0.0003376116,0.000006192251,0.000005352315,0.0004074285,0.000069275,0.00004003077,0.5015039,0.003458021,0.01942175],"study_design_scores_gemma":[0.0006177169,0.000006033468,0.6148904,0.00009732898,0.00001837455,8.721276e-7,0.001350737,0.01112816,0.00001863168,0.002315422,0.3692436,0.0003127181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533516,0.0001038829,0.0005396736,0.001409767,0.0008737349,0.0007773248,0.000001202837,0.0001170468,0.2428257],"genre_scores_gemma":[0.9956089,0.00003716123,0.0002161666,0.003063118,0.0002057516,0.00005335073,0.000006160781,0.000007887889,0.0008014857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4991885,"threshold_uncertainty_score":0.751586,"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."}}