{"id":"W1498346340","doi":"10.2139/ssrn.2179522","title":"Generosity and Political Preferences","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generosity; Politics; Political science; Social psychology; Psychology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001128918,0.00006765043,0.00009457952,0.00002712483,0.0006176574,0.0000526816,0.0001096207,0.00004635899,0.00002991116],"category_scores_gemma":[0.00003200317,0.00006081203,0.00003263168,0.0000376198,0.0002303574,0.0003196568,0.00004476365,0.0004514135,0.00002061584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008292639,"about_ca_system_score_gemma":0.0004752385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426886,"about_ca_topic_score_gemma":0.003753426,"domain_scores_codex":[0.9973754,0.00008560223,0.0001077095,0.00007791843,0.0001162428,0.00223714],"domain_scores_gemma":[0.9996696,0.00002670162,0.00004200489,0.00004041571,0.00002116332,0.0002001484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003137801,0.00002867644,0.1848181,3.132146e-7,0.00001453294,7.872801e-8,0.001583164,2.045976e-8,0.0001298856,0.8111448,0.00001982003,0.002257492],"study_design_scores_gemma":[0.0005860003,0.0003060834,0.05874871,0.0000108345,0.00007395756,0.0001164435,0.1428209,0.000001692426,0.001121294,0.7869174,0.008804514,0.0004921181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973488,0.005340578,0.00003748856,0.0009397981,0.0002065217,0.00005057367,8.645634e-7,0.00001698045,0.01991924],"genre_scores_gemma":[0.9959235,0.002843916,0.00007668417,0.00007619258,0.0004900382,0.0000028721,2.806727e-7,0.000005005418,0.0005814693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412378,"threshold_uncertainty_score":0.4750584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370211143937208,"score_gpt":0.3303349596509654,"score_spread":0.2966328482115934,"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."}}