{"id":"W2134906701","doi":"10.1287/mnsc.1090.1099","title":"Global Dual Sourcing: Tailored Base-Surge Allocation to Near- and Offshore Production","year":2009,"lang":"en","type":"article","venue":"Management Science","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Key (lock); Task (project management); Computer science; Dual (grammatical number); Production (economics); Operations research; Order (exchange); Business; Economics; Microeconomics; Engineering","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":[0.001082568,0.0002100199,0.0001454556,0.0003775013,0.0006289775,0.0009954829,0.0003994966,0.00002529299,0.00008005561],"category_scores_gemma":[0.00008869578,0.0002052509,0.00003714043,0.002258104,0.0001981445,0.001671543,0.0004237452,0.00005017097,0.0002232094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366498,"about_ca_system_score_gemma":0.00001257349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007482609,"about_ca_topic_score_gemma":0.00003633336,"domain_scores_codex":[0.9976994,0.000008466012,0.0002578792,0.0007882682,0.0007421036,0.0005038463],"domain_scores_gemma":[0.9992818,0.000003627495,0.0001123162,0.0004432339,0.0001064547,0.00005258668],"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":[0.0001919559,0.0007297429,0.072648,0.0004377896,0.0000626226,0.00007531263,0.0005157791,0.0106645,0.001594116,0.4392774,0.2238237,0.2499791],"study_design_scores_gemma":[0.0007465031,0.00009136678,0.6713384,0.0001217926,0.0001148156,0.000004673845,0.001740653,0.03441885,0.0001767564,0.007492194,0.2829125,0.0008414451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438972,0.0000420932,0.004088121,0.03152918,0.001606333,0.001664925,9.820656e-7,0.0004508703,0.1167203],"genre_scores_gemma":[0.9890071,0.000006082905,0.00103963,0.008201024,0.0004206389,0.00003043265,0.000009023664,0.000009075181,0.001276981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5986905,"threshold_uncertainty_score":0.9599465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800012934255604,"score_gpt":0.2327139465872359,"score_spread":0.2147138172446799,"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."}}