{"id":"W2905583555","doi":"10.4018/978-1-5225-0635-5.ch003","title":"The Development and Analysis of Environmentally Responsible Supply Chain Models","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Business; Sustainability; Production (economics); Product (mathematics); Supply chain management; Supply chain risk management; Environmental economics; Process management; Service management; Operations management; Industrial organization; Environmental resource management; Engineering; Marketing; Economics; Microeconomics","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":[0.00111971,0.001290073,0.0008814759,0.001077441,0.0007673231,0.002029547,0.002062664,0.002062404,0.004977688],"category_scores_gemma":[0.003770916,0.0008089202,0.001630256,0.001602511,0.001185461,0.002568482,0.002048901,0.002196079,0.001061517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205571,"about_ca_system_score_gemma":0.002051079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007857075,"about_ca_topic_score_gemma":0.004811287,"domain_scores_codex":[0.9992631,0.0002452369,0.00003833232,0.00009010437,0.0002892801,0.00007397716],"domain_scores_gemma":[0.9989772,0.0004918788,0.0001366789,0.00009300999,0.0002461115,0.00005509719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006172387,0.00002818272,0.0001998234,0.00006691522,0.0000248826,0.00007910909,0.00008906815,0.6449097,0.0003804259,0.3413632,0.002266038,0.0105865],"study_design_scores_gemma":[0.000002699449,0.000007570561,0.00005741635,0.00002555345,0.000006645025,0.00001618778,0.00001836019,0.8122094,0.0001057499,0.1816654,0.005877425,0.000007535597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007052714,0.00359546,0.9381141,0.001003966,0.0001843252,0.00008090302,0.0003206671,0.0001662014,0.04948162],"genre_scores_gemma":[0.6061508,0.01446549,0.2903147,0.0006364536,0.0005519765,0.0009356011,0.001584726,0.0004736851,0.08488654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007857075,"threshold_uncertainty_score":0.01665199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232481338426536,"score_gpt":0.2262023949380888,"score_spread":0.2138775815538234,"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."}}