{"id":"W2098634459","doi":"10.1177/0899764003257462","title":"Board Composition, Committees, and Organizational Efficiency: The Case of Nonprofits","year":2003,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Expense ratio; Nonprofit organization; Operating expense; Affect (linguistics); Composition (language); Accounting; Nonprofit sector; Public relations; Finance; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007622506,0.0002124784,0.0002698293,0.00009248578,0.001098394,0.0001045749,0.0001744207,0.0001289578,0.0003080535],"category_scores_gemma":[0.00004446158,0.0001734307,0.00005533509,0.0004388941,0.0006414813,0.0002659626,0.00002132366,0.0002178791,0.000008811875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004729882,"about_ca_system_score_gemma":0.000134303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008215325,"about_ca_topic_score_gemma":0.006310165,"domain_scores_codex":[0.9983055,0.0003461775,0.0003418686,0.0003466425,0.0002734223,0.0003863921],"domain_scores_gemma":[0.9989593,0.0002951404,0.0001285277,0.0002361909,0.0002027995,0.000178045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008546762,0.0002134879,0.7615615,0.0002041847,0.0001478726,0.0001990408,0.07532989,0.000005262938,0.006001991,0.1500684,0.001337081,0.004845828],"study_design_scores_gemma":[0.01034984,0.005210122,0.6830866,0.0005812782,0.000939258,0.003980555,0.2121137,0.003556797,0.009193813,0.02562826,0.04053164,0.004828118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946689,0.0008533414,0.000500482,0.0004617195,0.0004033007,0.0004589837,0.00003567873,0.00006375329,0.002553828],"genre_scores_gemma":[0.9988322,0.00003263863,0.0004639381,0.0001910502,0.0002082459,0.00001540404,0.00001108428,0.00002431623,0.000221159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367838,"threshold_uncertainty_score":0.9983891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200930448498801,"score_gpt":0.2521834162831408,"score_spread":0.2401741117981528,"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."}}