{"id":"W2182741461","doi":"","title":"OPTIMIZATION AND EVALUATION OF SUSTAINABLE SUPPLY CHAINS","year":2010,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Supply chain; Legislation; Production (economics); Environmental economics; Forcing (mathematics); Order (exchange); Life-cycle assessment; Supply chain risk management; Business; Environmental impact assessment; Balance (ability); Sustainable development; Supply chain management; Environmental resource management; Risk analysis (engineering); Environmental science; Service management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009312553,0.00006793125,0.00007136344,0.00004861255,0.00006811784,0.00002688721,0.00008936521,0.00004842224,0.0005677738],"category_scores_gemma":[0.00009093443,0.00006337757,0.00001597285,0.0001447529,0.00008170558,0.0001793774,0.0001118446,0.00007190512,0.00001253546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003471363,"about_ca_system_score_gemma":0.000006414389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002015333,"about_ca_topic_score_gemma":0.00007127054,"domain_scores_codex":[0.999259,0.00004424121,0.00009434979,0.0001669816,0.0002978565,0.0001376047],"domain_scores_gemma":[0.9996664,0.00001813946,0.00006728622,0.0001879636,0.00002418058,0.00003606252],"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":[0.00008860405,0.0005921316,0.3036656,0.0001620444,0.00005894578,0.00001328094,0.005757418,0.392222,0.07604254,0.03562357,0.03150143,0.1542723],"study_design_scores_gemma":[0.001287149,0.0002389512,0.202735,0.00003443247,0.0001334895,0.000005511386,0.002397173,0.7370954,0.025469,0.003484751,0.02660981,0.000509374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684361,0.00001547212,0.004497899,0.0006192334,0.00005617588,0.000397955,7.90529e-7,0.00005638518,0.02592002],"genre_scores_gemma":[0.988988,0.00002592544,0.006506119,0.00003126064,0.00001717217,0.0000208489,0.000004929183,0.000008088812,0.004397626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3448733,"threshold_uncertainty_score":0.6216725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008394288183609327,"score_gpt":0.252773849942547,"score_spread":0.2443795617589377,"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."}}