{"id":"W2766762231","doi":"10.1002/csr.1465","title":"How Corporate Social Responsibility Helps MNEs to Improve their Reputation. The Moderating Effects of Geographical Diversification and Operating in Developing Regions","year":2017,"lang":"en","type":"article","venue":"Corporate Social Responsibility and Environmental Management","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Granada; Innovation, Science and Economic Development Canada","keywords":"Multinational corporation; Reputation; Corporate social responsibility; Business; Diversification (marketing strategy); Industrial organization; Developing country; Marketing; Public relations; Economic growth; Economics; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002125379,0.0001609551,0.0001397898,0.0006274589,0.0007736856,0.001992313,0.0003350303,0.0003950101,0.003419982],"category_scores_gemma":[0.01160544,0.0001018094,0.0002202335,0.0005958936,0.0008709237,0.001539988,0.001989939,0.0006675053,0.0002535917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190103,"about_ca_system_score_gemma":0.001327281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01680841,"about_ca_topic_score_gemma":0.02928589,"domain_scores_codex":[0.9984277,0.0007509296,0.00008058984,0.0002146924,0.0002390047,0.0002870598],"domain_scores_gemma":[0.9839391,0.003311539,0.007785287,0.0006587442,0.00142574,0.00287965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008613354,0.0001702,0.9767977,0.00003113846,0.0001345965,0.0001535312,0.002769818,0.0006789727,0.0004401283,0.00158002,0.0006602753,0.01649748],"study_design_scores_gemma":[0.000005990489,0.0000625804,0.9918014,0.0000321394,0.00005223615,0.00003650213,0.00502422,0.0006950666,0.0002117888,0.0004865044,0.001584153,0.000007261472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942744,0.00013205,0.0002436296,0.000883289,0.00001056731,0.000007665872,0.00003005939,0.000004251246,0.004414073],"genre_scores_gemma":[0.9995878,0.00002599483,0.00003755194,0.00001784674,0.000002526217,0.000001302961,0.000008012965,7.630431e-7,0.0003182253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680841,"threshold_uncertainty_score":0.0334211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057486098191703,"score_gpt":0.2456216400365999,"score_spread":0.2050467790546829,"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."}}