{"id":"W2593851478","doi":"10.1111/itor.12396","title":"Outsource planning with asymmetric supply cost information through a menu of option contracts","year":2017,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Outsourcing; Profit (economics); Microeconomics; Order (exchange); Supply chain; Business; Computer science; Information asymmetry; Private information retrieval; Operations research; Economics; Industrial organization; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057388,0.0001171284,0.0001323258,0.0009529078,0.0005297197,0.0008514719,0.0005588593,0.00006057085,0.0005594949],"category_scores_gemma":[0.0003270576,0.0001081141,0.00004601402,0.0003578009,0.0001705312,0.006034689,0.00004937752,0.0003087396,0.0001137633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817704,"about_ca_system_score_gemma":0.00007838023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153282,"about_ca_topic_score_gemma":0.0003130244,"domain_scores_codex":[0.9979932,0.00002508836,0.0003747759,0.0001963567,0.001171723,0.0002388916],"domain_scores_gemma":[0.9985366,0.0001261566,0.0001758072,0.0002542957,0.0008927423,0.00001442956],"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":[0.001564154,0.001185062,0.0760294,0.0002505699,0.0003455272,0.00004688984,0.001734713,0.2343665,0.0004991433,0.6027185,0.003650144,0.07760938],"study_design_scores_gemma":[0.004934974,0.00009693382,0.2013477,0.0004930983,0.0000301722,0.00001237723,0.002523079,0.1638441,0.0008379363,0.004220273,0.6212114,0.0004479871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1242258,0.00006119526,0.1799565,0.01883139,0.001556406,0.002182087,0.00006532187,0.00008431204,0.6730371],"genre_scores_gemma":[0.9971801,0.00002657538,0.0008093833,0.0003780967,0.0002727888,0.000185932,0.0001374704,0.00001171354,0.0009979228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8729544,"threshold_uncertainty_score":0.8210763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105894155722409,"score_gpt":0.377723230803256,"score_spread":0.271829075080847,"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."}}