{"id":"W2583442649","doi":"10.22230/cjnser.2016v7n2a239","title":"Government-Nonprofit Relations in Times of Recession.","year":2017,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Government (linguistics); Nonprofit sector; Economics; Business; Political science; Keynesian economics; Public administration; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006122928,0.0003481806,0.0002068699,0.001171642,0.004762117,0.005219975,0.0005590104,0.002079289,0.01052803],"category_scores_gemma":[0.002522247,0.0002283076,0.0001674722,0.002405257,0.002256245,0.003374126,0.001833304,0.002556935,0.002218481],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004142394,"about_ca_system_score_gemma":0.005715538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04835214,"about_ca_topic_score_gemma":0.2165143,"domain_scores_codex":[0.9995955,0.0001276673,0.00001440685,0.00003415604,0.0001336299,0.00009476993],"domain_scores_gemma":[0.9990133,0.0003638126,0.0001471885,0.0000335297,0.0002302256,0.0002118777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001182822,0.000009388335,0.0004923752,0.000120374,0.000001796927,0.0001495564,0.00595557,0.00003638396,0.00003303188,0.01603305,0.9441316,0.03302503],"study_design_scores_gemma":[0.000001849042,0.000003306074,0.003172247,0.0003168548,0.000001341708,0.00009256446,0.006343666,0.0000205312,0.00001596164,0.002015587,0.9880123,0.000003705584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01221336,0.2243205,0.0005906635,0.2430567,0.03730117,0.00005982324,0.001125354,0.00014688,0.4811855],"genre_scores_gemma":[0.1328268,0.10942,0.0008659805,0.03505558,0.01173062,0.0001139841,0.001456868,0.000298993,0.708231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9958576,"threshold_uncertainty_score":0.0961414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09429115109635353,"score_gpt":0.3903201486264114,"score_spread":0.2960289975300578,"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."}}