{"id":"W4385812956","doi":"10.3390/jrfm16080373","title":"Integration of Digital Technologies in Corporate Social Responsibility (CSR) Activities: A Systematic Literature Review and Bibliometric Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Digital transformation; Context (archaeology); Knowledge management; Scientific literature; Data science; Digitization; Computer science; Business; Political science; World Wide Web; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.006080606,0.0001102832,0.0006501544,0.02506267,0.0002084656,0.0001649316,0.000160316,0.00009403873,0.000001352185],"category_scores_gemma":[0.003896855,0.00008684018,0.000118302,0.0897167,0.0001942094,0.0005429072,0.00008688151,0.0002161993,2.638266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471841,"about_ca_system_score_gemma":0.00006788363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005876528,"about_ca_topic_score_gemma":0.0003009744,"domain_scores_codex":[0.9979936,0.0004008496,0.0008517815,0.0001588024,0.0004320317,0.0001628746],"domain_scores_gemma":[0.9979528,0.0002539895,0.001200902,0.000126298,0.0004441418,0.00002182419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003983608,0.0004831337,0.509798,0.14054,0.0007451847,0.0002367951,0.07172002,0.00005413187,0.00002029192,0.1203185,0.00137492,0.1543107],"study_design_scores_gemma":[0.00071499,0.0002435788,0.8585559,0.01030049,0.001553647,0.000005210968,0.06348175,0.00009205084,0.000004708738,0.06393273,0.0007973102,0.0003176788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807897,0.01520392,0.002006308,0.0005956308,0.0001207396,0.0009738345,0.00003187419,0.00003924868,0.0002387837],"genre_scores_gemma":[0.9774829,0.02227561,0.00008336631,0.000007533956,0.00003581596,0.00001564542,0.000003721801,0.000003931335,0.00009147875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3487578,"threshold_uncertainty_score":0.9859874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157175257174638,"score_gpt":0.3137983106886101,"score_spread":0.2922265581168638,"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."}}