{"id":"W3124937346","doi":"","title":"Corporate Social Responsibility and Geographic Dispersion","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Endogeneity; Corporate social responsibility; Dispersion (optics); Sample (material); Business; Accounting; Geographical distance; Spatial dispersion; Control (management); Demographic economics; Economic geography; Econometrics; Economics; Public relations; Political science; Sociology; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019589,0.0001773882,0.0002246251,0.002476662,0.0006692028,0.001040638,0.0003326138,0.0003220171,0.001837378],"category_scores_gemma":[0.007307366,0.00008671421,0.0002293024,0.003077497,0.0008518367,0.001007728,0.001643868,0.000542287,0.0001605977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003765,"about_ca_system_score_gemma":0.0004725179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02757413,"about_ca_topic_score_gemma":0.03288287,"domain_scores_codex":[0.9990363,0.0002751213,0.00009943719,0.0001688503,0.0002652594,0.0001550859],"domain_scores_gemma":[0.9831419,0.002407653,0.01135513,0.0005661454,0.001056913,0.001472343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001328038,0.00003569579,0.9960423,0.000007531326,0.00004063723,0.00003998284,0.0006618144,0.0003905582,0.0000413969,0.0003591544,0.0001588413,0.002208753],"study_design_scores_gemma":[0.000002934445,0.00003427811,0.9963242,0.00001339048,0.000009816218,0.00004831546,0.001856685,0.0005356061,0.00006406664,0.0003635531,0.0007406442,0.00000655177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981369,0.0001247327,0.0001052021,0.0001077963,0.000002653676,0.00000614275,0.0002451598,0.000002974023,0.001268411],"genre_scores_gemma":[0.99959,0.0000325617,0.00004170007,0.000005710455,0.000004937606,0.0000030869,0.00019512,5.336511e-7,0.0001264414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02757413,"threshold_uncertainty_score":0.05482727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704711439515351,"score_gpt":0.2650075577646809,"score_spread":0.2379604433695274,"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."}}