{"id":"W4200592266","doi":"10.1177/08997640211057433","title":"Nonprofit Financial Response to Immigration","year":2021,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Immigration; Nonprofit sector; Revenue; Population; Business; Service (business); Demographic economics; Economic growth; Public relations; Finance; Political science; Economics; Sociology; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002533108,0.0001260713,0.0001503169,0.000937973,0.001552416,0.001684292,0.0005412192,0.0006272398,0.00702579],"category_scores_gemma":[0.02213014,0.00008630611,0.000162052,0.0009652965,0.0009066745,0.0007192197,0.001982128,0.0009365411,0.0004736532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955235,"about_ca_system_score_gemma":0.001625622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224159,"about_ca_topic_score_gemma":0.02349257,"domain_scores_codex":[0.9977739,0.001036763,0.00009508356,0.0001343732,0.0003411743,0.0006187264],"domain_scores_gemma":[0.9778284,0.003875961,0.01174422,0.0007554399,0.002351952,0.003444129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675934,0.0003679397,0.9291563,0.00006258678,0.00002677021,0.0004823238,0.01343403,0.000300157,0.000453917,0.002596503,0.008578081,0.04437379],"study_design_scores_gemma":[0.0000108756,0.0001291948,0.9446392,0.00008784061,0.000009330039,0.0002661892,0.04307067,0.0004594953,0.0001915387,0.001055867,0.01006335,0.00001648562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782865,0.0001375656,0.00009108913,0.003377007,0.00005383878,0.00002707646,0.0001734986,0.000009652301,0.01784372],"genre_scores_gemma":[0.997619,0.0001036468,0.00006211588,0.0003196212,0.00003602432,0.0000140219,0.0001083474,0.000003091503,0.001734127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224159,"threshold_uncertainty_score":0.02434063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426124673694216,"score_gpt":0.2758388256787676,"score_spread":0.2615775789418254,"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."}}