{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001065035,0.0002989824,0.0003597815,0.0001863197,0.000852299,0.0002489331,0.0002503138,0.0002505175,0.000787049],"category_scores_gemma":[0.0002212033,0.0003289858,0.0001376818,0.0007416824,0.0001434468,0.0005418159,0.00004522776,0.00030513,0.000221368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884402,"about_ca_system_score_gemma":0.0005692906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007539045,"about_ca_topic_score_gemma":0.02777078,"domain_scores_codex":[0.997112,0.0004801264,0.000401331,0.0007015428,0.0005506534,0.000754296],"domain_scores_gemma":[0.9985375,0.0002320868,0.00008170702,0.0003812855,0.0002794504,0.0004879686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003549946,0.00033108,0.4517253,0.0001868005,0.0001386486,0.0005338951,0.1792299,0.000005277817,0.2424239,0.01604645,0.0134926,0.09233621],"study_design_scores_gemma":[0.001649218,0.001493072,0.7813572,0.0001698197,0.00008239165,0.00003821294,0.02113531,0.0001428813,0.006448857,0.001693322,0.1843868,0.001402821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915087,0.0003545228,0.0009050874,0.003273416,0.001389307,0.0004880702,0.00004655313,0.000203793,0.00183053],"genre_scores_gemma":[0.9909709,0.00002411796,0.001306264,0.001226402,0.001350279,0.00007308357,0.00003278231,0.0000404774,0.004975688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.329632,"threshold_uncertainty_score":0.9999162,"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."}}