{"id":"W2160216926","doi":"10.1177/0899764003260601","title":"Funding Relations between Nonprofits and Government: A Positive Example","year":2004,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Government (linguistics); Accountability; Investment (military); Transaction cost; Business; Public relations; Service (business); Database transaction; Public administration; Finance; Politics; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006070014,0.0002959179,0.0003395749,0.00009803989,0.001236432,0.0002173524,0.0001849296,0.0002154986,0.0001610369],"category_scores_gemma":[0.00003479915,0.0003119811,0.0000819772,0.0003282932,0.0003288368,0.000844627,0.00004498703,0.0003433569,0.00004611491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003621745,"about_ca_system_score_gemma":0.0001155495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0330435,"about_ca_topic_score_gemma":0.01065479,"domain_scores_codex":[0.9976659,0.0001339832,0.0003477447,0.0005873928,0.0005702155,0.0006947804],"domain_scores_gemma":[0.9989371,0.0002474092,0.000125507,0.0002129659,0.00006521416,0.0004118457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004467009,0.00003990824,0.9217848,0.0000430793,0.0001012167,0.0000178614,0.04857238,0.000001270406,0.001593821,0.01852819,0.0000789008,0.009193907],"study_design_scores_gemma":[0.001393504,0.0006972202,0.9757944,0.0001588609,0.0001125086,0.00001031825,0.01246774,0.00002351766,0.0003206355,0.005288301,0.003107719,0.0006252459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990288,0.0004951006,0.001458699,0.0007749283,0.0003344282,0.0005830307,0.0001147889,0.00016806,0.005782993],"genre_scores_gemma":[0.9969767,0.00002807884,0.001087722,0.0001470747,0.0008626917,0.00003618112,0.00002981481,0.00004041057,0.0007913199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05400963,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025329396781593,"score_gpt":0.270632587489357,"score_spread":0.2403792935215411,"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."}}