{"id":"W1731991363","doi":"10.1287/opre.1120.1155","title":"Dynamic Business Share Allocation in a Supply Chain with Competing Suppliers","year":2012,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Markov decision process; Microeconomics; Supply chain; Time horizon; Principal (computer security); Imperfect; Repeated game; Process (computing); Principal–agent problem; Computer science; Operations research; Business; Game theory; Economics; Markov process; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001713675,0.0001489985,0.0001405708,0.0009114238,0.0004891281,0.0005322139,0.000308434,0.00005292248,0.001292642],"category_scores_gemma":[0.0001695753,0.000131436,0.00002159352,0.002079834,0.0001047112,0.001782846,0.000224276,0.0002734232,0.0006722845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198896,"about_ca_system_score_gemma":0.00005711005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887341,"about_ca_topic_score_gemma":0.004589602,"domain_scores_codex":[0.9981586,0.00005786775,0.0002387577,0.000287225,0.0005862443,0.0006712521],"domain_scores_gemma":[0.9991503,0.00004484746,0.00002522995,0.0003152936,0.0004345597,0.00002970479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003733474,0.002759513,0.5288661,0.001596158,0.0001493177,0.0000662885,0.005168877,0.07858661,0.007627493,0.3264118,0.02522191,0.02317262],"study_design_scores_gemma":[0.00264191,0.00004638049,0.3314095,0.0004808978,0.00003017366,0.000006926596,0.01863554,0.4711924,0.0001211476,0.0002227841,0.1742951,0.0009172828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449716,0.0001831949,0.001126801,0.009393633,0.0002573144,0.001561614,0.000007733774,0.0001175378,0.04238055],"genre_scores_gemma":[0.995978,0.00001697499,0.0006360558,0.0004357095,0.0003478444,0.0003574502,0.0004030187,0.00003530658,0.001789646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926058,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462341549455375,"score_gpt":0.3092002736619232,"score_spread":0.2629661187163857,"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."}}