{"id":"W2099871253","doi":"10.2139/ssrn.1290039","title":"Motivating Altruism: A Field Study","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Donation; Altruism (biology); Privilege (computing); Blood donor; Affect (linguistics); Legislature; Demographic economics; Labour economics; Variation (astronomy); Business; Social psychology; Economics; Public economics; Medicine; Psychology; Political science; Economic growth; Law; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001191217,0.00009657998,0.0001497592,0.00005762787,0.001679528,0.00003804753,0.0002553446,0.00004172099,0.00008409374],"category_scores_gemma":[0.000133061,0.00009451599,0.00007253646,0.0001249486,0.00009394252,0.0002224894,0.00005125244,0.0008812521,0.00004939043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102549,"about_ca_system_score_gemma":0.001204275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00352971,"about_ca_topic_score_gemma":0.01004688,"domain_scores_codex":[0.9977566,0.0001256434,0.0002176476,0.0001483804,0.000216962,0.001534741],"domain_scores_gemma":[0.99961,0.0000718304,0.0001086253,0.0000863306,0.00004777565,0.00007542079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004244276,0.0006222723,0.7878423,8.714896e-7,0.0001932262,0.00003867382,0.08884676,0.000005749785,0.0003673825,0.1105437,0.0006953395,0.01080125],"study_design_scores_gemma":[0.002204226,0.00291429,0.01651713,0.00001876497,0.0000603841,0.0003460706,0.8726368,0.000007057032,0.0006593782,0.09954947,0.004354702,0.0007317449],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794471,0.0007517074,0.00007132041,0.000959752,0.0002360257,0.0001772377,2.138171e-7,0.00003738996,0.01831923],"genre_scores_gemma":[0.995064,0.001563162,0.00005802285,0.0001237953,0.0003439385,0.00000944432,1.589573e-7,0.00001096424,0.002826562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7837901,"threshold_uncertainty_score":0.9996201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797252141371876,"score_gpt":0.3373344568643831,"score_spread":0.2993619354506643,"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."}}