{"id":"W4409783431","doi":"10.71317/rjsa.003.03.0185","title":"Integrating E-Procurement and Green Procurement: Designing a Digital Framework for Sustainable Supplier Selection, Environmental Compliance, and Lifecycle Performance Monitoring","year":2025,"lang":"en","type":"article","venue":"Research Journal for Social Affairs","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Barrick Gold (Canada)","funders":"","keywords":"Procurement; Business; Process management; Selection (genetic algorithm); Sustainability; Sustainable design; Environmental compliance; Environmental economics; Computer science; Marketing; Environmental science; Environmental protection; Economics","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":[0.008507815,0.001022905,0.0006145402,0.005428745,0.00246643,0.009340744,0.002509724,0.002797238,0.003128189],"category_scores_gemma":[0.006655554,0.001022561,0.001385405,0.005269931,0.008649798,0.01820341,0.006492827,0.00270934,0.0008746881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005198178,"about_ca_system_score_gemma":0.006665132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146802,"about_ca_topic_score_gemma":0.01112075,"domain_scores_codex":[0.9945701,0.00293473,0.0005517266,0.00052634,0.001042913,0.000374279],"domain_scores_gemma":[0.9948085,0.002656877,0.0005639527,0.0008160248,0.0007982086,0.0003564654],"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":[0.00001738312,0.00008540748,0.001561713,0.0001977091,0.00002261194,0.0002930195,0.002292461,0.01431874,0.001106081,0.9343289,0.001144479,0.0446315],"study_design_scores_gemma":[0.00002989213,0.0001348063,0.002393097,0.001211145,0.00007851214,0.0008925567,0.007936452,0.1391909,0.004616096,0.6156833,0.2276823,0.0001509184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01003492,0.001077103,0.9486088,0.004182814,0.0001033045,0.0003347979,0.00009019906,0.0003461042,0.03522192],"genre_scores_gemma":[0.2200587,0.00222077,0.7705694,0.0004912925,0.00006471841,0.0004002105,0.0002574781,0.00009398522,0.005843439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01146802,"threshold_uncertainty_score":0.04499418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06190378768969972,"score_gpt":0.3559543218981184,"score_spread":0.2940505342084187,"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."}}