{"id":"W3201217249","doi":"10.1016/j.tre.2021.102446","title":"In-house production and outsourcing under different emissions reduction regulations: An equilibrium decision model for global supply chains","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Outsourcing; Dilemma; Supply chain; Production (economics); Multinational corporation; Industrial organization; Business; Carbon tax; Greenhouse gas; Supply chain management; Carbon fibers; Environmental economics; Economics; Microeconomics; Computer science; 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":[0.001126469,0.000246878,0.0003606307,0.0002578502,0.0003321359,0.0001790056,0.0001098575,0.0001002813,0.00004480609],"category_scores_gemma":[0.0002775951,0.000243178,0.0000765852,0.0008668186,0.0001357303,0.0008343073,0.000009729253,0.0001894355,0.00000212882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008443547,"about_ca_system_score_gemma":0.00009714304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001627159,"about_ca_topic_score_gemma":0.003589219,"domain_scores_codex":[0.9974232,0.00005759831,0.0007571271,0.000746484,0.0005818557,0.0004337162],"domain_scores_gemma":[0.9984499,0.0000839402,0.0001774255,0.0003230217,0.0008928236,0.00007292703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005143825,0.00110942,0.04171066,0.0220618,0.0001158684,0.00008413759,0.001004685,0.338282,0.0006493278,0.5685764,0.007060236,0.01883105],"study_design_scores_gemma":[0.003645338,0.0001591557,0.4113446,0.007649421,0.0009298414,0.000007261165,0.006076079,0.3397555,0.0001169802,0.203206,0.02562729,0.001482628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5460932,0.01212101,0.4128206,0.0214946,0.0006392096,0.006217536,0.0002018992,0.0002964904,0.0001154556],"genre_scores_gemma":[0.9836364,0.01127414,0.002008443,0.0005554698,0.0002655194,0.000463905,0.001343182,0.00005049248,0.000402426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4375432,"threshold_uncertainty_score":0.9916509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006870166946132,"score_gpt":0.3677019858679705,"score_spread":0.2670149691733573,"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."}}