{"id":"W3116030304","doi":"10.5267/j.uscm.2020.10.003","title":"Life cycle assessment: Study linkage between environment supply chain management and sustainability of supply chain","year":2020,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Sustainability; Life-cycle assessment; Business; Reuse; Supply chain management; Environmental resource management; Linkage (software); Environmental impact assessment; Sustainable development; Environmental economics; Production (economics); Natural resource economics; Environmental science; Waste management; Engineering; Economics; Marketing; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004743879,0.001968277,0.002186063,0.001996972,0.0009533554,0.0009444743,0.002615826,0.0003456594,0.001675012],"category_scores_gemma":[0.0003790688,0.002079598,0.0005739464,0.002763945,0.0006595112,0.001581694,0.006195081,0.0009688091,0.0002108133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245984,"about_ca_system_score_gemma":0.0001470979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584375,"about_ca_topic_score_gemma":0.00006553024,"domain_scores_codex":[0.987342,0.0005405286,0.002818733,0.003499123,0.003065742,0.002733866],"domain_scores_gemma":[0.9946509,0.0003899091,0.001385861,0.002578253,0.0004062945,0.0005888106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000927472,0.004673449,0.7286132,0.01956343,0.004628903,0.002470391,0.005051851,0.04896354,0.00002372206,0.1015634,0.02697212,0.05654856],"study_design_scores_gemma":[0.01894503,0.001372363,0.4258649,0.0005342154,0.003595135,0.000003984482,0.1718037,0.07320577,0.00002917308,0.02152016,0.2779611,0.005164424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7134576,0.002287456,0.05831067,0.105858,0.0016468,0.05995293,0.000464645,0.003061531,0.05496037],"genre_scores_gemma":[0.9837262,0.0004053657,0.00277841,0.006142217,0.001384518,0.001891028,0.0005925106,0.0003518447,0.002727885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027482,"threshold_uncertainty_score":0.999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350844603534565,"score_gpt":0.2405983431445236,"score_spread":0.2270898971091779,"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."}}