{"id":"W2109135618","doi":"","title":"Volunteering, Income Support Programs and Disabled Persons†","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Affect (linguistics); Income Support; Compensation (psychology); Work (physics); Relevance (law); Volunteer work; Principal (computer security); Public support; Public relations; Paid work; Pension; Survey data collection; Demographic economics; Public economics; Business; Psychology; Labour economics; Social psychology; Political science; Economics; Finance; Working hours; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009615696,0.0001252472,0.0002191464,0.000762784,0.001247033,0.0006591521,0.0003374295,0.0004262554,0.003712732],"category_scores_gemma":[0.003958835,0.00006867113,0.0002428871,0.001138508,0.0005718787,0.00033081,0.0005975338,0.0005170097,0.0004112259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483566,"about_ca_system_score_gemma":0.001823259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2118953,"about_ca_topic_score_gemma":0.3611505,"domain_scores_codex":[0.9994575,0.000143311,0.00002103505,0.00005609186,0.00009835222,0.0002236912],"domain_scores_gemma":[0.9962605,0.0006978693,0.001512007,0.0001836185,0.0001977129,0.001148355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001174319,0.0002570291,0.9755318,0.00002807102,0.00003177028,0.00005765179,0.0006094396,0.0003958337,0.0001032118,0.0008923836,0.00238574,0.01958953],"study_design_scores_gemma":[0.00001443925,0.0001010377,0.9917931,0.00002718565,0.00001961011,0.00006069836,0.001817233,0.0005120545,0.0000785899,0.0007385873,0.00482851,0.000008911506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954201,0.0002964975,0.000194053,0.0007452728,0.00001098679,0.00002961557,0.001054334,0.00000539284,0.002243806],"genre_scores_gemma":[0.9968803,0.0001849369,0.0001467793,0.0000728667,0.00001086893,0.0000169055,0.0007815507,0.000001707944,0.001904177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2118953,"threshold_uncertainty_score":0.4213238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061940607202869,"score_gpt":0.3525930977513776,"score_spread":0.3119736916793489,"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."}}