{"id":"W2039188731","doi":"10.1287/opre.1110.0953","title":"TECHNICAL NOTE—Decentralized Inventory Sharing with Asymmetric Information","year":2011,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Information asymmetry; Incentive; Incentive compatibility; Information sharing; Order (exchange); Business; Microeconomics; Shapley value; Inventory theory; Computer science; Supply chain; Industrial organization; Operations research; Game theory; Economics; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003875831,0.0005806382,0.001188166,0.0006120029,0.001092986,0.002025717,0.00207063,0.001415316,0.004401471],"category_scores_gemma":[0.01012861,0.0005171016,0.0008521626,0.001222073,0.002031952,0.004275987,0.00290864,0.001471102,0.0004546384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567998,"about_ca_system_score_gemma":0.00213193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120248,"about_ca_topic_score_gemma":0.0004987317,"domain_scores_codex":[0.995966,0.00158114,0.0001747086,0.0005656568,0.001240197,0.0004723106],"domain_scores_gemma":[0.9920202,0.003816491,0.001592522,0.001554879,0.0007346425,0.0002813044],"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":[0.000223506,0.0001378866,0.001577221,0.0002249524,0.00007915837,0.0005638557,0.0003538897,0.2861018,0.008288399,0.6795331,0.003273085,0.0196431],"study_design_scores_gemma":[0.00009055233,0.0001089238,0.0004799684,0.00002954073,0.00003362844,0.0003545136,0.0001028743,0.675422,0.002662365,0.3163992,0.004278838,0.0000376597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06726084,0.0003011587,0.9123007,0.001613317,0.00008215188,0.0001898656,0.000145957,0.0001234623,0.01798253],"genre_scores_gemma":[0.9471937,0.0003417329,0.04830312,0.0001892533,0.0001722708,0.0001843835,0.00009152043,0.00002970126,0.003494216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004401471,"threshold_uncertainty_score":0.02049762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068804521563917,"score_gpt":0.3187746129388312,"score_spread":0.2118941607824396,"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."}}