{"id":"W3179982831","doi":"10.1080/09638180.2021.1936587","title":"Are Foreign Donors Good Monitors?","year":2021,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Government (linguistics); Accounting; Quality (philosophy); Public economics; Economics","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":[0.005673697,0.0001320473,0.0002422647,0.0009404222,0.0008156229,0.002506863,0.0003260296,0.0005889621,0.005191821],"category_scores_gemma":[0.01500509,0.00009594318,0.0001277637,0.001341643,0.001336587,0.002366284,0.001117314,0.0007396501,0.0002982344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121355,"about_ca_system_score_gemma":0.001868572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382998,"about_ca_topic_score_gemma":0.005224607,"domain_scores_codex":[0.9982526,0.0008589358,0.00006828719,0.000199785,0.000236354,0.0003840454],"domain_scores_gemma":[0.9868558,0.00373052,0.006017479,0.0006377769,0.00112801,0.001630357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003503186,0.0001269331,0.7253405,0.0004969133,0.0001239129,0.0005095609,0.008365633,0.0006191082,0.0005366107,0.06283195,0.01930198,0.1813965],"study_design_scores_gemma":[0.000128359,0.0003045037,0.7288998,0.00173115,0.0003002008,0.001184915,0.03502835,0.001571841,0.001828689,0.02476085,0.204177,0.00008425384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9125575,0.009304384,0.001996504,0.02362074,0.0003685407,0.00004258007,0.0004007855,0.00005141704,0.05165743],"genre_scores_gemma":[0.9947465,0.00148919,0.0001930547,0.001240365,0.00008155029,0.00001108798,0.00006397745,0.000005104778,0.002168979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005673697,"threshold_uncertainty_score":0.03000569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992923382663038,"score_gpt":0.3185589829832972,"score_spread":0.2786297491566668,"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."}}