{"id":"W2032369394","doi":"10.1016/j.jmsy.2015.02.011","title":"Developing a bi-objective model of the closed-loop supply chain network with green supplier selection and disassembly of products: The impact of parts reliability and product greenness on the recovery network","year":2015,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Supply chain; Supply chain network; Reuse; Profit (economics); Reverse logistics; Pareto principle; Multi-objective optimization; Closed loop; Reliability (semiconductor); Network planning and design; Computer science; Supply chain management; Manufacturing engineering; Risk analysis (engineering); Operations research; Business; Engineering; Operations management; Marketing; Economics; Control 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002225962,0.001418684,0.001933784,0.001074971,0.0008650277,0.003000181,0.002595816,0.003334596,0.006270942],"category_scores_gemma":[0.003735333,0.001287034,0.00126986,0.001284909,0.001362205,0.002571191,0.001634021,0.001834995,0.0005033946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637606,"about_ca_system_score_gemma":0.00256783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04005264,"about_ca_topic_score_gemma":0.01887993,"domain_scores_codex":[0.9991646,0.0003274662,0.00002773383,0.0001915212,0.0001285288,0.0001601575],"domain_scores_gemma":[0.9983073,0.001002731,0.0002138838,0.00004171227,0.0003297168,0.0001045648],"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":[0.00001379949,0.00001051392,0.000129409,0.00001916526,0.0000124976,0.00003680135,0.00001517772,0.9970044,0.0001080866,0.001865327,0.00007745685,0.0007072607],"study_design_scores_gemma":[0.000005018406,0.00001027509,0.00005136457,0.000003174555,0.00000599024,0.00000325803,0.000007420035,0.9991156,0.00002669948,0.0007058791,0.00006211812,0.000003113029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1208465,0.0007749851,0.8524737,0.001034364,0.0001291112,0.0002608949,0.0005022799,0.0003263791,0.02365175],"genre_scores_gemma":[0.9569136,0.000414723,0.0292529,0.00009968171,0.0000326264,0.0003072961,0.0002286492,0.00005175815,0.01269874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04005264,"threshold_uncertainty_score":0.07963902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028236261795958,"score_gpt":0.2194407068276475,"score_spread":0.1991583442096879,"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."}}