{"id":"W2148792800","doi":"10.1177/0899764007303528","title":"The Interchangeability of Paid Staff and Volunteers in Nonprofit Organizations","year":2007,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interchangeability; Sample (material); Business; Nonprofit organization; Public relations; Marketing; Political science; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298248,0.0002318402,0.0003160081,0.000183994,0.0006014853,0.00009606869,0.0002949639,0.0001814566,0.000113936],"category_scores_gemma":[0.0001814568,0.0001953487,0.00005614101,0.0007880907,0.0007799216,0.0003880587,0.00005326422,0.0003230793,0.000006446932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500488,"about_ca_system_score_gemma":0.0001358159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03161128,"about_ca_topic_score_gemma":0.2030589,"domain_scores_codex":[0.9977765,0.0002024486,0.0005561022,0.0004232314,0.0003785366,0.0006631564],"domain_scores_gemma":[0.9985636,0.0005657434,0.0001240343,0.0003004572,0.0002265136,0.0002195956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001527246,0.00009705708,0.8987527,0.00008846029,0.00003802086,0.000007775949,0.06863303,4.510875e-7,0.002840364,0.004875763,0.0001188749,0.02439474],"study_design_scores_gemma":[0.001095777,0.001114739,0.8905635,0.000123617,0.00004336983,0.000007589574,0.09720527,0.0003068249,0.0007716466,0.001949667,0.006270935,0.0005469827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995572,0.0006990506,0.0006132266,0.0004653805,0.0005250116,0.0006102535,0.0000228088,0.00006939199,0.001422852],"genre_scores_gemma":[0.9988278,0.0001143281,0.0002725731,0.00004765996,0.0002768043,0.00001675944,0.000009051221,0.00002836139,0.0004067368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1714476,"threshold_uncertainty_score":0.9748373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170092263265635,"score_gpt":0.277108237279854,"score_spread":0.2654073146471976,"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."}}