{"id":"W4399669139","doi":"10.3390/math12121865","title":"The Quest for an ESG Country Rank: A Performance Contribution Analysis/MCDM Approach","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple-criteria decision analysis; Ranking (information retrieval); Corporate governance; Context (archaeology); Accountability; Multitude; Rank (graph theory); Management science; Prioritization; Transparency (behavior); Political science; Environmental economics; Computer science; Operations research; Engineering; Economics; Geography; Mathematics; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01389631,0.001303341,0.001548555,0.01273618,0.001728296,0.008731795,0.001726602,0.00168219,0.002320014],"category_scores_gemma":[0.01864684,0.0005006056,0.0009006737,0.0103464,0.002566707,0.003865904,0.003323434,0.002157233,0.0003287936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004246796,"about_ca_system_score_gemma":0.007191816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005625395,"about_ca_topic_score_gemma":0.008905489,"domain_scores_codex":[0.9840666,0.01032051,0.0005006436,0.0006967945,0.003823904,0.0005914165],"domain_scores_gemma":[0.9915741,0.004728009,0.0008423565,0.0003702164,0.002117452,0.0003678751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008899037,0.0002933955,0.007160002,0.001062536,0.0003304928,0.0003420817,0.001479154,0.2244936,0.001165464,0.5230782,0.006554172,0.233952],"study_design_scores_gemma":[0.00004075608,0.0002059184,0.00347425,0.0006674947,0.0001369041,0.0001764222,0.004503218,0.6375321,0.001532215,0.3278324,0.02377079,0.0001276381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04536453,0.001792317,0.906101,0.006518447,0.0001702275,0.0006121494,0.0003231993,0.0001739817,0.03894421],"genre_scores_gemma":[0.4234794,0.001753513,0.571142,0.0003035045,0.0001196575,0.0003886503,0.0002121356,0.00005143413,0.002549665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01389631,"threshold_uncertainty_score":0.07349157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665138371292967,"score_gpt":0.4492554924375184,"score_spread":0.2827416553082217,"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."}}