{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007434912,0.001279591,0.0009117277,0.0015177,0.005917074,0.001904339,0.001439089,0.002864296,0.01045978],"category_scores_gemma":[0.01391977,0.0009435226,0.0004918283,0.0007495561,0.003475939,0.001456655,0.001629253,0.002787926,0.001627685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032032,"about_ca_system_score_gemma":0.001578781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692902,"about_ca_topic_score_gemma":0.004201424,"domain_scores_codex":[0.9975119,0.00163583,0.00006555512,0.0003390648,0.0001808587,0.0002668742],"domain_scores_gemma":[0.9683687,0.01965976,0.001898422,0.003936017,0.001583266,0.004553935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.02593699,0.4989198,0.2298404,0.001013465,0.0002556762,0.003603513,0.06686337,0.002404173,0.04109966,0.01941717,0.01152051,0.09912521],"study_design_scores_gemma":[0.01036848,0.1787967,0.6238928,0.0005039206,0.0005520079,0.004149522,0.1084598,0.009922937,0.01260422,0.02384735,0.02641825,0.0004839954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997024,0.00002686177,0.0002978659,0.0001394289,0.00001786314,0.0001641001,0.00003801229,0.00000966844,0.00228221],"genre_scores_gemma":[0.9925244,0.00009844059,0.00164669,0.0003321144,0.00004701014,0.0005972766,0.00009513368,0.00001268087,0.00464619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045978,"threshold_uncertainty_score":0.03931999,"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."}}