{"id":"W171465389","doi":"10.1007/978-0-387-71607-7_11","title":"DEA Models For Supply Chain or Multi-Stage Structure","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Supply chain; Context (archaeology); Measure (data warehouse); Computer science; Operations research; Microeconomics; Mathematical optimization; Economics; Business; Mathematics; Data mining; Marketing","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003275904,0.0006897718,0.00117686,0.001435575,0.0003235653,0.0004339972,0.002028697,0.0009408093,0.01049692],"category_scores_gemma":[0.001193208,0.0004235141,0.0007921118,0.0003348358,0.000274723,0.0002974825,0.0002689046,0.0005130256,0.0003147494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135163,"about_ca_system_score_gemma":0.0003278044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006338763,"about_ca_topic_score_gemma":0.003675651,"domain_scores_codex":[0.9932538,0.00004664978,0.001657575,0.001651992,0.002727458,0.0006625251],"domain_scores_gemma":[0.9934895,0.00254362,0.0008254955,0.001836391,0.001044883,0.0002601031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003089477,0.00007951794,0.00002786237,0.00004759845,0.0002568531,0.0001182057,0.0005661329,0.04046461,0.0001154144,0.8428925,0.03353602,0.08158638],"study_design_scores_gemma":[0.000723668,0.000121162,0.000008577655,0.00006073235,0.0001458908,0.00001358766,0.0001972014,0.359546,0.000153185,0.17947,0.4586242,0.0009358115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00008063249,0.0003250679,0.6925773,0.0002681772,0.0005637827,0.0008689492,0.001024462,0.0001340505,0.3041576],"genre_scores_gemma":[0.007727525,0.00002074626,0.06283317,0.001088763,0.0002526643,0.000006814725,0.00008534921,0.00009687296,0.9278881],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6634225,"threshold_uncertainty_score":0.9998217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2813031669180776,"score_gpt":0.4238047140958254,"score_spread":0.1425015471777478,"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."}}