{"id":"W2282660891","doi":"10.15185/izawol.238","title":"Incentives for prosocial activities","year":2016,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prosocial behavior; Incentive; Psychology; Business; Social psychology; Microeconomics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002880875,0.0004136677,0.0003336345,0.0008621567,0.001339455,0.002151191,0.0006029535,0.002209115,0.0815435],"category_scores_gemma":[0.01488206,0.0003343532,0.0003823169,0.0005192685,0.0009352081,0.001754666,0.001832793,0.001950586,0.005634992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507492,"about_ca_system_score_gemma":0.002546469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399222,"about_ca_topic_score_gemma":0.006401394,"domain_scores_codex":[0.9970773,0.001312899,0.00009366851,0.0001827873,0.0008343283,0.0004989995],"domain_scores_gemma":[0.9905076,0.003627833,0.001456813,0.0009790075,0.001174301,0.00225447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004351822,0.0005485015,0.007546915,0.0002421941,0.0000429534,0.000119329,0.0002824982,0.001901862,0.001379733,0.6003159,0.2209284,0.1662566],"study_design_scores_gemma":[0.0003910688,0.0006411806,0.06104907,0.000661111,0.00005740044,0.000485191,0.0008388927,0.004995644,0.001841553,0.2188414,0.7100663,0.0001311033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0472111,0.002091018,0.0124004,0.03687174,0.001310352,0.0003378752,0.001643125,0.0003949902,0.8977393],"genre_scores_gemma":[0.7832716,0.002058049,0.01126279,0.006990936,0.001389632,0.0005485354,0.0006715059,0.00009459714,0.1937123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0815435,"threshold_uncertainty_score":0.2727902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222941442755869,"score_gpt":0.356412525291707,"score_spread":0.3241831108641483,"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."}}