{"id":"W2965611307","doi":"10.1037/emo0000642","title":"Culturally valued facial expressions enhance loan request success.","year":2019,"lang":"en","type":"article","venue":"Emotion","topic":"Cultural Differences and Values","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stanford Institute for Research in the Social Sciences","keywords":"Loan; Psychology; Social psychology; Socioeconomic status; Value (mathematics); Sample (material); Arousal; Demographic economics; Demography; Finance; Economics; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821921,0.0002960373,0.0001963058,0.0001547781,0.0002699397,0.0005374062,0.0001173838,0.0003327124,0.007119895],"category_scores_gemma":[0.003707936,0.0001421401,0.0001589975,0.0001134299,0.0002323204,0.000397084,0.0005451096,0.0004861396,0.0005752885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119415,"about_ca_system_score_gemma":0.0001368897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018753,"about_ca_topic_score_gemma":0.001763553,"domain_scores_codex":[0.9997788,0.00007790532,0.000006826645,0.00005487423,0.00004807075,0.000033573],"domain_scores_gemma":[0.9993978,0.0002383217,0.0001718654,0.00004666782,0.0000673141,0.00007804872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007609841,0.003011157,0.1656635,0.001123228,0.0003146305,0.0007096622,0.01036654,0.001022267,0.4839121,0.00263816,0.01354235,0.3100867],"study_design_scores_gemma":[0.0001270376,0.001370005,0.9754612,0.00008157403,0.0002107211,0.0003944247,0.002705786,0.002787904,0.01155605,0.001337396,0.003923823,0.00004417341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894881,0.00021221,0.0004440544,0.0001810847,0.00005149301,0.00003314986,0.0001361897,0.00002718381,0.009426505],"genre_scores_gemma":[0.9947818,0.0001951806,0.001041697,0.0001418827,0.000020223,0.00006554545,0.00008163558,0.00001619958,0.003655636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007119895,"threshold_uncertainty_score":0.02381843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778922222065739,"score_gpt":0.3605232953177614,"score_spread":0.312734073097104,"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."}}