{"id":"W7025526383","doi":"","title":"Winter 2015 Nonprofit Fundraising Study: Covering Charitable Receipts at Nonprofit Organizations in the United States and Canada in 2014","year":2015,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receipt; Nonprofit organization; Nonprofit sector; Government (linguistics); Agency (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002042686,0.000471184,0.000407753,0.003724775,0.004593007,0.002388276,0.001313139,0.0005711975,0.002816668],"category_scores_gemma":[0.006410096,0.0004174817,0.0004091975,0.00557667,0.0009256551,0.0008293639,0.00215073,0.001016938,0.0006130557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03429096,"about_ca_system_score_gemma":0.05665342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851599,"about_ca_topic_score_gemma":0.9954925,"domain_scores_codex":[0.9974257,0.0001239321,0.0001029344,0.0001185279,0.001569149,0.0006596967],"domain_scores_gemma":[0.9902905,0.0004471069,0.001312123,0.0002427316,0.006140086,0.001567378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003084551,0.0006218505,0.7656515,0.0002269309,0.0001146585,0.0002339183,0.0103636,0.0003972283,0.0005400875,0.0008666299,0.1527634,0.06791186],"study_design_scores_gemma":[0.000006343876,0.000027805,0.9678458,0.00005813864,0.00001610785,0.00002432225,0.01178297,0.00009677551,0.0002965468,0.00004453378,0.01978683,0.00001380922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041845,0.002004633,0.0004698863,0.003993714,0.0002119649,0.0006243631,0.0588584,0.0001675572,0.02948489],"genre_scores_gemma":[0.8911056,0.003127976,0.001178579,0.002269814,0.00009336176,0.0004779728,0.03932542,0.00007468755,0.06234654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03429096,"threshold_uncertainty_score":0.2487995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523996430057929,"score_gpt":0.2611790410001453,"score_spread":0.2459390766995661,"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."}}