{"id":"W3210415110","doi":"10.32920/ryerson.14636016.v1","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; Business; Economy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001756167,0.0002458384,0.0003696725,0.0001688536,0.0001272729,0.0008109499,0.0001801218,0.0001212101,0.00130395],"category_scores_gemma":[0.00004042333,0.0002476982,0.0001172736,0.0002524375,0.00002225056,0.000443666,0.001670463,0.0003302539,0.0001335016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006416004,"about_ca_system_score_gemma":0.00005301001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788716,"about_ca_topic_score_gemma":0.04867904,"domain_scores_codex":[0.9987212,0.00000440333,0.0004020584,0.0004578011,0.00008286932,0.0003316679],"domain_scores_gemma":[0.9993223,0.000007592227,0.0001656689,0.0002935509,0.0002024895,0.00000842884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001182249,0.0004531291,0.9646677,0.0004849467,0.000173346,0.00006842682,0.0004643742,0.001357699,0.00001919109,0.01921232,0.009438971,0.003648123],"study_design_scores_gemma":[0.002164456,0.00001910349,0.3857839,0.0006442138,0.0001954278,0.000002873062,0.01474746,0.1359411,0.00001630022,0.002862399,0.4551157,0.002506941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580653,0.0001238178,0.001387821,0.001088747,0.001115843,0.0006494456,0.000007072382,0.000185883,0.03737608],"genre_scores_gemma":[0.9955513,0.00004225509,0.00039568,0.0007789449,0.0006803217,0.0001541169,0.0008447282,0.00003594885,0.001516631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5788837,"threshold_uncertainty_score":0.9999976,"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."}}