{"id":"W2776776073","doi":"10.1007/s10100-017-0512-9","title":"Funds allocation in NPOs: the role of administrative cost ratios","year":2017,"lang":"en","type":"article","venue":"Central European Journal of Operations Research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Transparency (behavior); Business; Overhead (engineering); Economics; Public economics; Microeconomics; Finance; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00515188,0.00005088334,0.00009875772,0.0001077554,0.001303866,0.0004089634,0.0007526806,0.00001870147,0.0001758759],"category_scores_gemma":[0.001685215,0.00003693492,0.00004736525,0.0001637639,0.000513009,0.0004975656,0.00005798225,0.0003990781,0.00001524278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118499,"about_ca_system_score_gemma":0.000601122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007959608,"about_ca_topic_score_gemma":0.00450333,"domain_scores_codex":[0.997273,0.00147858,0.0003428418,0.00008166036,0.0005448148,0.0002790983],"domain_scores_gemma":[0.9987601,0.0001189504,0.0001027106,0.0002134303,0.0006918561,0.0001129327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004932903,0.0009017113,0.2683136,0.00004125734,0.000170518,0.000226836,0.2465,0.006265197,0.1277258,0.2389771,0.001992256,0.1083924],"study_design_scores_gemma":[0.001444649,0.0006734063,0.8265237,0.0003090145,0.00001857186,0.00001846392,0.08571929,0.002927183,0.01674983,0.0004477958,0.06492726,0.0002408302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258121,0.0002444459,0.0003387943,0.003315713,0.0001972016,0.0003712825,0.000005331158,0.000003319019,0.0697118],"genre_scores_gemma":[0.9987341,0.0002216103,0.0001550157,0.000009872966,0.0003486933,0.000002612637,0.000001135888,0.000007472172,0.0005195049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582101,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2072494928330856,"score_gpt":0.4647343797875941,"score_spread":0.2574848869545086,"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."}}