{"id":"W3125597808","doi":"10.1287/opre.2018.1806","title":"Dynamic Stable Supplier Coalitions and Invariance in Assembly Systems with Commodity Components","year":2019,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Commodity; Product (mathematics); Supply chain; Industrial organization; Market power; Business; Microeconomics; Stochastic game; Power (physics); Computer science; Economics; Commerce; Marketing; Mathematics; Monopoly; 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":[0.001049479,0.0001047146,0.000151452,0.0004261266,0.0003554336,0.0008819664,0.0002093867,0.00004097577,0.0003799447],"category_scores_gemma":[0.00002838825,0.0000919334,0.0000120711,0.0006519501,0.00008396452,0.00107611,0.0002280587,0.00024299,0.0005812621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081219,"about_ca_system_score_gemma":0.0000375955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006425099,"about_ca_topic_score_gemma":0.004938129,"domain_scores_codex":[0.9986598,0.00006914722,0.0001864897,0.0002956515,0.0004422036,0.0003466637],"domain_scores_gemma":[0.9993702,0.00005323888,0.00001889639,0.0003263448,0.0002121491,0.00001920244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861847,0.001158206,0.2482489,0.001332662,0.0001094213,0.00005329147,0.0004489054,0.08202335,0.005249526,0.6369789,0.02377209,0.0004385825],"study_design_scores_gemma":[0.001396969,0.00003622225,0.05159724,0.0001748852,0.000008104181,0.000002197228,0.002037297,0.8563509,0.00001046753,0.0002570016,0.08787959,0.000249115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588829,0.00006741186,0.0003922598,0.001698712,0.000145988,0.001271955,0.00001558259,0.00003505554,0.03749008],"genre_scores_gemma":[0.9933683,0.00001816444,0.0001289693,0.0001979656,0.0000572777,0.0002003218,0.0002070365,0.00001762051,0.00580432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7743276,"threshold_uncertainty_score":0.9712871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915052432008149,"score_gpt":0.3022048357292315,"score_spread":0.24305431140915,"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."}}