{"id":"W2143148446","doi":"10.7202/037917ar","title":"Volunteering, Income Support Programs and Persons with Disabilities","year":2009,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Compensation (psychology); Unpaid work; Volunteer work; Income Support; Work (physics); Relevance (law); Principal (computer security); Incentive; Disability insurance; Demographic economics; Actuarial science; Psychology; Public relations; Business; Political science; Social psychology; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001150233,0.000111869,0.0001578144,0.0006674964,0.001084973,0.0005198449,0.000227662,0.0005543763,0.002496608],"category_scores_gemma":[0.006063936,0.00008580005,0.0001814482,0.0007490234,0.0005555705,0.0005403655,0.0007337147,0.0005880976,0.0002833585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596507,"about_ca_system_score_gemma":0.0005138632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008477512,"about_ca_topic_score_gemma":0.0164617,"domain_scores_codex":[0.9992591,0.0004105378,0.00003485942,0.00004574574,0.00008801088,0.0001616824],"domain_scores_gemma":[0.9924495,0.001784019,0.003855233,0.0002370434,0.0001862739,0.001488043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008523979,0.0007186393,0.9814513,0.00002342975,0.00002349212,0.0001093737,0.001552768,0.000201125,0.0001121827,0.0005360033,0.0006297353,0.01455665],"study_design_scores_gemma":[0.00001059145,0.0002849674,0.9941983,0.00002783949,0.000009689985,0.0001736136,0.002908206,0.0002644581,0.00005422772,0.0005714726,0.00149048,0.000006163525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982973,0.0001894963,0.00004822075,0.0003881383,0.000004158353,0.000009202415,0.00004247669,0.00000117929,0.001019934],"genre_scores_gemma":[0.9991384,0.0002071279,0.00004947678,0.00006952886,0.0000118492,0.00001023522,0.00006075379,5.563327e-7,0.0004522645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008477512,"threshold_uncertainty_score":0.01685631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006518671450749,"score_gpt":0.2840528116237095,"score_spread":0.253987624909202,"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."}}