{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008772036,0.0001988351,0.0004501478,0.0003392404,0.0004539959,0.002315359,0.001044337,0.0001093352,0.00005339093],"category_scores_gemma":[0.003738183,0.0001094696,0.0002484316,0.00178286,0.0001196848,0.000484681,0.0001184386,0.0001608853,0.0001581805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007296666,"about_ca_system_score_gemma":0.00007689884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003198181,"about_ca_topic_score_gemma":0.00002287046,"domain_scores_codex":[0.9965125,0.0001453958,0.001025387,0.0005306333,0.001403432,0.0003826624],"domain_scores_gemma":[0.993515,0.004486853,0.0002376591,0.001128205,0.0005287347,0.0001035416],"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":[0.000380994,0.001112026,0.003131184,0.0006963115,0.001646835,0.00003140539,0.01865454,0.009970688,0.001293428,0.6676282,0.04761327,0.2478411],"study_design_scores_gemma":[0.0002106615,0.00004373302,0.0003854784,0.00003588552,0.0001895048,0.00001908805,0.000706443,0.9194753,0.00007542221,0.03031697,0.04839034,0.0001512165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1359866,0.0005156012,0.8597956,0.000191641,0.0006059328,0.0006748155,0.00006662207,0.0001435941,0.002019614],"genre_scores_gemma":[0.971788,0.00002536587,0.02614616,0.00007716484,0.0001956281,0.0001136513,0.00002914095,0.00002462986,0.001600213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9095046,"threshold_uncertainty_score":0.9987203,"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."}}