{"id":"W2357596534","doi":"","title":"Analysis of Countries’Efficiencies of Attracting Offshore Service Outsourcing Based on DEA","year":2010,"lang":"en","type":"article","venue":"Guoji jing-mao tansuo","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Offshore outsourcing; Business; Data envelopment analysis; China; Submarine pipeline; Industrial organization; Offshoring; Service (business); Environmental economics; Marketing; Engineering; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005566712,0.0004067429,0.0007037286,0.006139369,0.0004442055,0.001994994,0.0003666675,0.0002358145,0.001362038],"category_scores_gemma":[0.0195856,0.00032886,0.001022562,0.0074813,0.000662699,0.001443139,0.001372479,0.0003466245,0.000269454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235813,"about_ca_system_score_gemma":0.000733532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003600832,"about_ca_topic_score_gemma":0.002813438,"domain_scores_codex":[0.9956301,0.001683973,0.0004505194,0.0003634443,0.001314489,0.0005574455],"domain_scores_gemma":[0.9781677,0.01250317,0.004126989,0.001435359,0.003386791,0.0003799706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003185943,0.00009633849,0.8709387,0.000204444,0.0006605785,0.000366941,0.0009258939,0.05407547,0.002120023,0.0119694,0.0005211666,0.05780244],"study_design_scores_gemma":[0.00003445191,0.0002712723,0.9452425,0.00008048367,0.0003148807,0.0004499582,0.003465533,0.0395906,0.004360741,0.002669262,0.003458741,0.00006154435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907625,0.0001703477,0.003061099,0.00004140792,0.000001755864,0.00003130837,0.0002058944,0.00001307816,0.005712582],"genre_scores_gemma":[0.9980479,0.0001283801,0.001195689,0.000005778514,0.000002317048,0.00002101833,0.0002823529,0.00000654639,0.000310096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006139369,"threshold_uncertainty_score":0.02943999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118369826921201,"score_gpt":0.2213234943934576,"score_spread":0.2094865117013375,"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."}}