{"id":"W4399892095","doi":"10.1016/b978-0-443-18464-2.00006-6","title":"Exploring the enablers of sustainable supply chain management: A simplified computational intelligence perspective","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Perspective (graphical); Supply chain; Supply chain management; Business; Knowledge management; Computer science; Process management; Artificial intelligence; Marketing","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":[0.0007525377,0.0006965917,0.0005095772,0.001081354,0.000667587,0.00542899,0.001382075,0.001448867,0.006280973],"category_scores_gemma":[0.002048284,0.0004577344,0.0007064198,0.002380467,0.004315714,0.007381612,0.002368671,0.001851924,0.0006213614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510204,"about_ca_system_score_gemma":0.001398398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146347,"about_ca_topic_score_gemma":0.003789707,"domain_scores_codex":[0.9994969,0.0002186464,0.00001915242,0.00005508607,0.0001506716,0.00005942307],"domain_scores_gemma":[0.99911,0.0006153923,0.00007240388,0.0001116569,0.0000479326,0.00004259337],"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":[0.000002137318,0.000007531356,0.00008063927,0.00004393276,0.000008084768,0.00003272808,0.00007004965,0.01155342,0.000118221,0.9821641,0.0006170687,0.005302087],"study_design_scores_gemma":[0.000001331587,0.000005119597,0.00009286148,0.00004055115,0.00000517676,0.00001998841,0.0001176194,0.01658817,0.0001116801,0.9711793,0.01183371,0.0000044712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0326684,0.01370974,0.4285294,0.0221612,0.0003467116,0.00006386683,0.0003508046,0.0002007844,0.5019692],"genre_scores_gemma":[0.7988646,0.02596039,0.1399223,0.0008570103,0.0005973608,0.0001417523,0.0003253036,0.00008645663,0.03324474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006280973,"threshold_uncertainty_score":0.02101189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065402394621441,"score_gpt":0.2329861635910105,"score_spread":0.2023321396447961,"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."}}