{"id":"W1989761990","doi":"10.2139/ssrn.1492721","title":"Gender and Generosity: Does Degree of Anonymity or Group Gender Composition Matter?","year":2009,"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":"Toronto Metropolitan University; University of Guelph","funders":"","keywords":"Generosity; Anonymity; Composition (language); Group (periodic table); Degree (music); Psychology; Political science; Computer science; Computer security; Physics; Philosophy; 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":[0.0007847439,0.0001179649,0.0001965277,0.00006301619,0.0005512151,0.00006016498,0.0001619675,0.00006968066,0.00007179635],"category_scores_gemma":[0.000005899607,0.00008899753,0.00006671446,0.00007858,0.0001779704,0.0002787224,0.00003527362,0.0004072751,0.000007301296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006895615,"about_ca_system_score_gemma":0.0003514337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004185664,"about_ca_topic_score_gemma":0.002870926,"domain_scores_codex":[0.9983235,0.0001135883,0.0002390243,0.000168563,0.0001805521,0.0009747734],"domain_scores_gemma":[0.9996102,0.00002277108,0.0001578113,0.00008127687,0.00004593022,0.00008204192],"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":[0.0005790142,0.0007803614,0.2995219,0.00002094306,0.0003900909,0.00001670976,0.01790116,0.000007157095,0.09999276,0.5481694,0.0004734356,0.03214699],"study_design_scores_gemma":[0.003132356,0.001346838,0.3590625,0.00004179334,0.000265457,0.0003318349,0.05830627,0.00002091908,0.008323757,0.5675211,0.0006384638,0.001008785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925175,0.001988563,0.0004879982,0.0003892355,0.0001237032,0.000129011,0.000003714931,0.00001689929,0.004343332],"genre_scores_gemma":[0.9951339,0.003858089,0.0004239591,0.0002118941,0.0001528395,0.000002170338,0.000001715741,0.000007812938,0.000207661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09166901,"threshold_uncertainty_score":0.4239556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403309579476353,"score_gpt":0.3145347470824342,"score_spread":0.2705016512876706,"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."}}