{"id":"W4252502749","doi":"10.32920/ryerson.14636016","title":"Employer supported volunteering programs in large corporations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Victoria Park","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social economy; Public sector; Private sector; Conceptualization; Revenue; General partnership; Voluntary sector; Globalization; State (computer science); Economy; Business; Economics; Market economy; Economic growth; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002921045,0.00009348371,0.0001115582,0.0008380485,0.002865079,0.001698013,0.0006276345,0.001026248,0.01133788],"category_scores_gemma":[0.004691367,0.0001040529,0.00008984393,0.001197266,0.001376541,0.001021777,0.002695653,0.0008477446,0.0007839847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441928,"about_ca_system_score_gemma":0.006479457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390546,"about_ca_topic_score_gemma":0.02943297,"domain_scores_codex":[0.9980146,0.0009765261,0.00003024221,0.0001037523,0.0001539617,0.0007209419],"domain_scores_gemma":[0.9914753,0.001884343,0.0007274116,0.0004158952,0.0004366457,0.005060493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000623349,0.006330696,0.1755088,0.0003565252,0.00003084196,0.001465403,0.0433011,0.002376664,0.001145751,0.2403884,0.1019119,0.4265607],"study_design_scores_gemma":[0.000507033,0.001421373,0.4283066,0.0008987763,0.00004549548,0.0007887095,0.09327427,0.006641334,0.001086318,0.05680826,0.4101667,0.00005516126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8201545,0.001681308,0.001756538,0.009021644,0.0001942662,0.0003124631,0.0001874983,0.00009281813,0.1665989],"genre_scores_gemma":[0.9789,0.00038342,0.0004545609,0.0003146026,0.00005185528,0.00009040988,0.0001079104,0.000007989543,0.01968932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390546,"threshold_uncertainty_score":0.037929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05660153876518655,"score_gpt":0.2434886521925589,"score_spread":0.1868871134273724,"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."}}