{"id":"W3025293836","doi":"10.1139/er-2019-0075","title":"Influence of sustainability reports on social and environmental issues: bibliometric analysis and the word cloud approach","year":2020,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Universidade Federal de Mato Grosso do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainability; Sustainability reporting; Descriptive statistics; Sample (material); Corporate sustainability; Accounting; Triple bottom line; Corporate social responsibility; Content analysis; Business; Environmental resource management; Marketing; Knowledge management; Environmental economics; Computer science; Economics; Political science; Sociology; Public relations; Social science; Statistics; Mathematics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01922946,0.0007624516,0.002319582,0.1946478,0.0017098,0.008076544,0.0009542675,0.0007896553,0.002971234],"category_scores_gemma":[0.1000798,0.0003331761,0.001997122,0.2514122,0.001803203,0.005175867,0.003469042,0.0005094226,0.0005696081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256348,"about_ca_system_score_gemma":0.005460295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003450722,"about_ca_topic_score_gemma":0.003539534,"domain_scores_codex":[0.9647086,0.00840743,0.006759894,0.001727159,0.01755649,0.0008404236],"domain_scores_gemma":[0.8466936,0.1125624,0.02180871,0.003350828,0.01459801,0.0009863803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004933422,0.000368923,0.4094329,0.04153886,0.003002851,0.001167928,0.01123187,0.002489377,0.003052595,0.01331397,0.0120803,0.5018271],"study_design_scores_gemma":[0.0001325278,0.0004659773,0.8243892,0.009119896,0.004922446,0.002428213,0.02752065,0.009358316,0.004588136,0.01547378,0.1013082,0.000292561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8181532,0.07668922,0.0122794,0.004061657,0.0005507257,0.002095885,0.02902892,0.000455508,0.05668552],"genre_scores_gemma":[0.9464296,0.02675684,0.01286373,0.0002166589,0.0006007841,0.001853711,0.009702358,0.00007683908,0.001499464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8053522,"threshold_uncertainty_score":0.1016963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894903548922923,"score_gpt":0.250424296925619,"score_spread":0.2314752614363898,"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."}}