{"id":"W3137187303","doi":"10.1016/j.socec.2022.101909","title":"You cannot judge a book by its cover: Evidence from a laboratory experiment on recognizing generosity from facial information","year":2022,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Economics","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Shanghai University of Finance and Economics","keywords":"Generosity; Allocator; Attractiveness; Psychology; Social psychology; Perception; Physical attractiveness; Dictator game; Face (sociological concept); Computer science; Cognitive psychology; Sociology; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020952,0.0002030761,0.0003149963,0.0001114883,0.0003818157,0.00005961247,0.0002360567,0.0001140086,0.007538488],"category_scores_gemma":[0.00000249537,0.0002234413,0.0001082875,0.00004012956,0.00008227114,0.0009659475,0.0001107707,0.0004156191,0.0001010241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005128813,"about_ca_system_score_gemma":0.00007114054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004251898,"about_ca_topic_score_gemma":0.00000652445,"domain_scores_codex":[0.9985538,0.0001513355,0.0006779357,0.0002506158,0.0001510049,0.0002153615],"domain_scores_gemma":[0.9990115,0.00004018261,0.0005759353,0.0001732895,0.00004233047,0.0001567558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01415927,0.007837499,0.06400066,0.000007238114,0.0004167932,0.0002021773,0.1108122,0.0003025513,0.4176108,0.0003628538,0.374363,0.009924916],"study_design_scores_gemma":[0.0202821,0.01679737,0.1192473,0.0001816679,0.0005869981,0.0003325321,0.07639115,0.0001761412,0.2807808,0.0001806674,0.4821901,0.002853127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879826,0.00828187,0.000004646373,0.0002328297,0.00198283,0.0001739542,0.001188209,0.00001502708,0.0001379835],"genre_scores_gemma":[0.9973255,0.000125889,0.0001148575,0.001806664,0.0002176783,0.00006557333,0.0001240049,0.00001577278,0.0002040262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.13683,"threshold_uncertainty_score":0.9933687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979713165979899,"score_gpt":0.3204981024777029,"score_spread":0.2707009708179039,"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."}}