{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003988012,0.0006519091,0.001100036,0.001016395,0.001838497,0.003468376,0.001471401,0.001392767,0.01105891],"category_scores_gemma":[0.02514357,0.0005392385,0.001692933,0.001320695,0.004990408,0.005583379,0.004453415,0.002146412,0.001131312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004936,"about_ca_system_score_gemma":0.001150428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982096,"about_ca_topic_score_gemma":0.001783041,"domain_scores_codex":[0.9954625,0.001657145,0.0002736734,0.001067574,0.0007816756,0.0007574952],"domain_scores_gemma":[0.9835917,0.007913271,0.00386286,0.002204427,0.001149123,0.001278609],"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":[0.0001187896,0.00007480847,0.002118613,0.00003474467,0.00005565288,0.0002655678,0.0006320308,0.02977657,0.001464069,0.954007,0.001413273,0.01003887],"study_design_scores_gemma":[0.0000563988,0.00007256157,0.00140554,0.00001443548,0.00001942447,0.0001284239,0.0003312452,0.106324,0.0005621811,0.8879416,0.003103387,0.00004075711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3238565,0.0003854812,0.6105804,0.002614876,0.0001443693,0.0001616622,0.0003642748,0.000249752,0.06164273],"genre_scores_gemma":[0.9666903,0.0001975961,0.02399324,0.0002123703,0.00009275004,0.0001259059,0.0002160212,0.0000771623,0.008394582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01105891,"threshold_uncertainty_score":0.03699571,"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."}}