{"id":"W4249583690","doi":"10.32920/ryerson.14636004","title":"Revenue diversification as a strategic response by Canada’s nonprofit sector","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Victoria Park","funders":"","keywords":"Diversification (marketing strategy); Nonprofit sector; Mandate; Revenue; Appeal; Internal revenue; Business; Government (linguistics); Public administration; Service (business); Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004375421,0.0001628407,0.0001705573,0.0009902635,0.007669996,0.003671839,0.0009335588,0.000494989,0.001726541],"category_scores_gemma":[0.009478758,0.0001511708,0.0001510742,0.001877084,0.003482608,0.0006359872,0.003546608,0.001203434,0.00009671174],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05258526,"about_ca_system_score_gemma":0.1089623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9153682,"about_ca_topic_score_gemma":0.9722796,"domain_scores_codex":[0.9943909,0.001371507,0.0000928741,0.0002685869,0.001366772,0.002509394],"domain_scores_gemma":[0.9876862,0.001906183,0.001656547,0.000478971,0.002842812,0.005429324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003508018,0.0003141722,0.6674413,0.0001591778,0.00004815166,0.000846203,0.08615065,0.001471617,0.003656028,0.05756933,0.02369835,0.1582942],"study_design_scores_gemma":[0.00007419631,0.0001559388,0.7156203,0.0002415771,0.00002538077,0.0001890204,0.1626675,0.001715335,0.001309628,0.004403291,0.1135277,0.00007027049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542543,0.0003122568,0.0005026773,0.007569544,0.000030097,0.0001720149,0.0001492186,0.00001922727,0.03699064],"genre_scores_gemma":[0.9956618,0.0001343327,0.0003280898,0.0005756299,0.000005772829,0.00001640883,0.00004848091,0.000004148712,0.003225167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9474148,"threshold_uncertainty_score":0.3815345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379906907063909,"score_gpt":0.3009746727016874,"score_spread":0.2571756036310483,"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."}}