{"id":"W2132888205","doi":"10.1287/msom.1060.0095","title":"Extending the Horizons: Environmental Excellence as Key to Improving Operations","year":2006,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":593,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Operational excellence; Supply chain; Process management; Quality (philosophy); Business; Computer science; Control (management); Principal (computer security); Supply chain management; Behavioral operations research; Product (mathematics); Lean manufacturing; Theory of constraints; Risk analysis (engineering); Operations management; Operations research; Marketing; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006502764,0.0005173816,0.0002494893,0.0006351079,0.002241615,0.002402338,0.001160289,0.00006566946,0.0009947424],"category_scores_gemma":[0.0000213072,0.0004492025,0.0001152604,0.0007021129,0.0000522452,0.00172714,0.001737158,0.0002425932,0.003167147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885447,"about_ca_system_score_gemma":0.00001850074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047335,"about_ca_topic_score_gemma":0.003143032,"domain_scores_codex":[0.9968523,0.00003995023,0.0006196023,0.0009077324,0.0007338105,0.000846542],"domain_scores_gemma":[0.9986299,0.00003812956,0.00009458914,0.001120192,0.00007415171,0.00004307954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003694828,0.0004325544,0.0004237858,0.0005182034,0.0001489617,0.0001399483,0.0004344232,0.8608679,0.001226455,0.1060116,0.007235025,0.02252418],"study_design_scores_gemma":[0.001893052,0.00007249911,0.037079,0.000195673,0.0006377386,0.0000151977,0.02535692,0.1040872,0.002986819,0.004358902,0.8209693,0.002347721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643678,0.0002131002,0.02620422,0.03792475,0.001309895,0.005872512,0.00001480369,0.0008193298,0.06327351],"genre_scores_gemma":[0.9694807,0.00002281691,0.003243096,0.01215599,0.001219955,0.001006144,0.0001745202,0.00009786995,0.01259892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8137342,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005455476542689291,"score_gpt":0.1920207503090721,"score_spread":0.1865652737663828,"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."}}