{"id":"W3014521107","doi":"10.1016/j.jclepro.2020.121389","title":"Evaluating strategies for environmental sustainability in a supply chain of an emerging economy","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Sustainability; Supply chain; Data envelopment analysis; Fast-moving consumer goods; Business; Environmental economics; Sustainable development; Supply chain management; Circular economy; Fuzzy cognitive map; Industrial organization; Fuzzy logic; Fuzzy set; Computer science; Economics; Marketing; Fuzzy number","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":[0.00158741,0.00005881088,0.0001347634,0.000107864,0.00004744351,0.00004844352,0.0002248932,0.00001617161,0.000004288785],"category_scores_gemma":[0.0002732258,0.00005445776,0.00005180897,0.0001494565,0.00004353525,0.002025552,0.0000448984,0.00009861639,2.176442e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008634541,"about_ca_system_score_gemma":0.0001862253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003961351,"about_ca_topic_score_gemma":0.000003291948,"domain_scores_codex":[0.9990669,0.00008398735,0.0003631544,0.0002005873,0.000158793,0.0001265284],"domain_scores_gemma":[0.9993782,0.00002942439,0.0003033905,0.00009946975,0.0001403374,0.00004916453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001786649,0.0002206294,0.003601259,0.0001931751,0.00001752141,0.00000784135,0.01917276,0.06038887,0.06964958,0.001571753,0.00007596914,0.844922],"study_design_scores_gemma":[0.002986239,0.005736151,0.05155754,0.0001763097,0.00004685556,0.0001872029,0.1081464,0.6419775,0.09529429,0.08988785,0.00340482,0.0005988012],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217881,0.00003020979,0.07099491,0.006771069,0.000131863,0.0002162777,4.495092e-7,0.000005714844,0.00006140415],"genre_scores_gemma":[0.9916198,0.000003451931,0.00806493,0.00007573042,0.0002198009,0.000003468009,4.061083e-7,0.000002716262,0.000009718591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8443232,"threshold_uncertainty_score":0.2220723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914437924216268,"score_gpt":0.3320533642351403,"score_spread":0.2829089849929776,"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."}}