{"id":"W2754742831","doi":"10.1016/j.ejor.2017.09.004","title":"Offshoring and outsourcing in a global supply chain: Impact of the arm’s length regulation on transfer pricing","year":2017,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outsourcing; Supply chain; Business; Industrial organization; Profit (economics); Transfer pricing; Multinational corporation; Division of labour; Procurement; Offshoring; Commerce; Order (exchange); Production (economics); Microeconomics; Economics; Marketing; Market economy; 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":[0.002634923,0.0003539059,0.0006843983,0.0007228922,0.001413198,0.004544565,0.001479457,0.002394593,0.01158511],"category_scores_gemma":[0.01042814,0.0003945322,0.001117086,0.001357723,0.002564856,0.004139993,0.001493564,0.002565419,0.000802316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004021774,"about_ca_system_score_gemma":0.003610578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03473698,"about_ca_topic_score_gemma":0.02323193,"domain_scores_codex":[0.9981078,0.0005422931,0.00007271082,0.0001754181,0.0003244789,0.0007772711],"domain_scores_gemma":[0.9909422,0.005382422,0.001261572,0.0005851369,0.00109767,0.0007309686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005311065,0.002711688,0.1006424,0.0003092561,0.000239154,0.004094683,0.001433746,0.5205356,0.01045311,0.254984,0.0142542,0.08503112],"study_design_scores_gemma":[0.000676167,0.002112522,0.1544034,0.0002618197,0.0006924822,0.0007166005,0.009418633,0.5841502,0.01128237,0.2216645,0.01416139,0.0004599256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697655,0.0004058007,0.002789426,0.002143524,0.000081269,0.00001865449,0.00009530593,0.00005975417,0.02464089],"genre_scores_gemma":[0.9976302,0.0001105565,0.0001566443,0.00006387645,0.0000217124,0.000003012024,0.0000279268,0.000009686283,0.001976305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03473698,"threshold_uncertainty_score":0.06906962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08008098550728045,"score_gpt":0.3356770351486652,"score_spread":0.2555960496413848,"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."}}