{"id":"W2020020206","doi":"10.1080/19397038.2011.609946","title":"Green supply chain for plastic films: A framework for the coexistence of ecosystems and plastic industry for a better environment","year":2011,"lang":"en","type":"article","venue":"International Journal of Sustainable Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Glaucoma Research Society of Canada","keywords":"Supply chain; Business; Industrial organization; Construct (python library); Environmental economics; Ecosystem; Biochemical engineering; Environmental science; Computer science; Engineering; Ecology; Economics; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000797895,0.0001875739,0.0002495317,0.0004424396,0.0001132286,0.0001507828,0.0005159728,0.0001152448,0.00005371126],"category_scores_gemma":[0.001463474,0.0001543135,0.0001412332,0.0001088662,0.00004515596,0.0005517182,0.0001739384,0.0002146327,6.09534e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748527,"about_ca_system_score_gemma":0.00003997522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790439,"about_ca_topic_score_gemma":0.000007129024,"domain_scores_codex":[0.9986188,0.000004514295,0.0005189209,0.0001669021,0.0003329715,0.0003578702],"domain_scores_gemma":[0.9973934,0.001308326,0.0005090393,0.0001229381,0.0006424555,0.00002387746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00290519,0.0004493258,0.01600665,0.01041289,0.003062154,0.0002706632,0.002850868,0.180702,0.0003747357,0.7727857,0.005807864,0.004371984],"study_design_scores_gemma":[0.006719746,0.0005716401,0.01133814,0.001326835,0.0008419911,0.00006199121,0.030805,0.6974804,0.0004082384,0.04996801,0.1995546,0.0009234186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08967016,0.0003148299,0.9053857,0.001386565,0.001432574,0.001699301,0.00002954445,0.00002391421,0.0000574686],"genre_scores_gemma":[0.98533,0.000008487602,0.01260716,0.000160263,0.00127929,0.0003125523,0.000007156973,0.00004520791,0.0002498958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8956598,"threshold_uncertainty_score":0.6292722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437924842520671,"score_gpt":0.2095962259866816,"score_spread":0.1952169775614749,"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."}}