{"id":"W4306160434","doi":"10.3390/su142013154","title":"Improving ESG Scores with Sustainability Concepts","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Sustainability; Sustainability reporting; Sustainability organizations; Corporate governance; Social sustainability; Mainstream; Business; Sustainable development; Temporality; Measure (data warehouse); Transparency (behavior); Corporate social responsibility; Accounting; Process management; Computer science; Public relations; Political science; Data mining","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001715774,0.0005533465,0.0005313003,0.0003321925,0.001765413,0.0003629811,0.0009729074,0.00009490373,0.00120634],"category_scores_gemma":[0.002452162,0.0005269663,0.000200834,0.001700746,0.001117298,0.001995307,0.002496378,0.000724751,0.00001800916],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007510608,"about_ca_system_score_gemma":0.000873228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006124593,"about_ca_topic_score_gemma":0.0001381764,"domain_scores_codex":[0.9955509,0.0001630031,0.0006410849,0.00131851,0.001037293,0.00128923],"domain_scores_gemma":[0.9962388,0.0001805238,0.0004402488,0.001514005,0.001566848,0.00005955996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007185139,0.000918657,0.9420581,0.002171059,0.00002974401,0.0002906649,0.0003122859,0.009656871,0.00001343888,0.02730577,0.0006279571,0.01589697],"study_design_scores_gemma":[0.00282339,0.0002791885,0.7723966,0.00001252891,0.000173133,0.00005596857,0.027875,0.003601351,0.00004808755,0.1081933,0.08277865,0.001762782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869397,0.00008803102,0.001455844,0.006853256,0.0002937619,0.002900769,0.000009243138,0.0005352854,0.0009240662],"genre_scores_gemma":[0.9962959,4.920873e-7,0.0001042309,0.001305393,0.0003868893,0.00100426,0.00005447021,0.00008932335,0.0007590925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696614,"threshold_uncertainty_score":0.9997182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005377705961968936,"score_gpt":0.2250164422146521,"score_spread":0.2196387362526832,"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."}}