{"id":"W4380189073","doi":"10.1504/ijmor.2023.131383","title":"The hybrid DHP method for evaluation, ranking and selection of green suppliers in the supply chain","year":2023,"lang":"en","type":"article","venue":"International Journal of Mathematics in Operational Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ranking (information retrieval); Data envelopment analysis; Selection (genetic algorithm); Supply chain; Computer science; Process (computing); Order (exchange); Operations research; Supplier evaluation; Supply chain management; Mathematical optimization; Business; Machine learning; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1116684,0.00007762073,0.0002097957,0.001475171,0.0002485182,0.000404361,0.001403973,0.00003788628,0.00006483435],"category_scores_gemma":[0.03105294,0.00004323632,0.00009814808,0.001479476,0.0001762927,0.0002555996,0.0001148017,0.0003565638,0.000006833717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728615,"about_ca_system_score_gemma":0.0004977328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006307899,"about_ca_topic_score_gemma":0.0004151867,"domain_scores_codex":[0.9901358,0.001388734,0.001367706,0.0001935297,0.006695052,0.0002191676],"domain_scores_gemma":[0.9691552,0.0252981,0.0003730527,0.0001530002,0.004990949,0.00002968897],"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":[0.0007076946,0.0009690565,0.02540213,0.00006436722,0.000437744,0.00004996697,0.03267207,0.2414171,0.01084381,0.507574,0.01995079,0.1599113],"study_design_scores_gemma":[0.0007083263,0.00006607256,0.007913275,0.00006094175,0.00000818673,0.0000628793,0.004580427,0.649121,0.000536933,0.3361314,0.0007673309,0.00004317525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209614,0.0001837503,0.04084194,0.03651282,0.0002683799,0.0007502243,0.00002496584,0.000003375819,0.0004531768],"genre_scores_gemma":[0.9891253,0.0000814825,0.01023872,0.00007086129,0.0001539953,0.00004838388,0.000005232351,0.000007736121,0.0002682664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407704,"threshold_uncertainty_score":0.9771089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2446521541389607,"score_gpt":0.5615350988053223,"score_spread":0.3168829446663616,"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."}}