{"id":"W4233831118","doi":"10.1002/nba.31028","title":"Add flexibility to bolster participation in employee volunteer events","year":2021,"lang":"en","type":"article","venue":"Nonprofit Business Advisor","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bolster; Unemployment; Flexibility (engineering); Quarter (Canadian coin); Demographic economics; Labour economics; Business; Economic growth; Economics; Geography; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007752771,0.0002071708,0.0003214101,0.0001393257,0.0002618888,0.00009303986,0.0002609426,0.0001727413,0.001229615],"category_scores_gemma":[0.0009169215,0.0002148868,0.00008660074,0.001554026,0.00007099382,0.0004147825,0.0001517808,0.0001564712,0.0004654957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347609,"about_ca_system_score_gemma":0.0006977265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004544024,"about_ca_topic_score_gemma":0.01817519,"domain_scores_codex":[0.9973317,0.0002535783,0.0004969662,0.0005939574,0.0006555188,0.0006683015],"domain_scores_gemma":[0.9985597,0.00008199502,0.00008411905,0.0003925484,0.000646771,0.0002348708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001905482,0.0006706875,0.9033428,0.0001000285,0.00003948071,0.00009759486,0.05979149,0.0002584807,0.0005726503,0.0004242495,0.01693761,0.01757432],"study_design_scores_gemma":[0.0004866149,0.00001580147,0.9437773,0.00007955143,0.00001222542,7.659698e-7,0.00287747,0.00002392112,0.000341473,0.0006038861,0.05148464,0.0002963982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989964,0.0001795487,0.001502465,0.004279554,0.001087195,0.000569717,0.00001355693,0.0001169507,0.002287027],"genre_scores_gemma":[0.9909967,0.00003843476,0.001587437,0.0009885422,0.000342925,0.0002261574,0.00002814549,0.00002851418,0.005763202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05691402,"threshold_uncertainty_score":0.9997405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391339905185298,"score_gpt":0.3428412060859936,"score_spread":0.3037072155674638,"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."}}