{"id":"W2106738367","doi":"10.1177/0022022110395139","title":"Affective Information in Context and Judgment of Facial Expression","year":2011,"lang":"en","type":"article","venue":"Journal of Cross-Cultural Psychology","topic":"Cultural Differences and Values","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Priming (agriculture); Psychology; Facial expression; Context (archaeology); Cognitive psychology; Social psychology; Generalization; Cross-cultural; Contrast (vision); Expression (computer science); Cultural diversity; Face (sociological concept); Linguistics; Communication; Sociology; Computer science; Geography; Epistemology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002535692,0.0001321812,0.0003379905,0.0001277448,0.00004063683,0.0000330781,0.000148742,0.000171724,0.0006265651],"category_scores_gemma":[0.00006764459,0.00008103644,0.00009990462,0.000092824,0.000314132,0.0009372617,0.00003063152,0.0002631469,0.0000203154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002240873,"about_ca_system_score_gemma":0.0000084061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076375,"about_ca_topic_score_gemma":0.0000282304,"domain_scores_codex":[0.9987895,0.0001092553,0.0006707095,0.0001113837,0.0001345515,0.0001846053],"domain_scores_gemma":[0.9988525,0.00003864361,0.0006187616,0.00008560657,0.000334753,0.00006974751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007401917,0.0008395782,0.5054042,0.00007338537,0.0002390538,0.00006158812,0.2102384,0.000003209216,0.05593522,0.005384356,0.008075968,0.2063432],"study_design_scores_gemma":[0.002724826,0.0009977733,0.9851678,0.00006160467,0.00001310237,0.0001958246,0.005030433,0.00000208148,0.002325141,0.001377728,0.00199635,0.0001073337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906152,0.0003441609,0.00003648768,0.000112257,0.001006936,0.0001296191,0.00000895384,0.000005119754,0.007741218],"genre_scores_gemma":[0.999411,0.00006749116,0.0001115455,0.000232783,0.00007854449,0.000004214604,0.000002561361,0.000003626551,0.00008822032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4797636,"threshold_uncertainty_score":0.6860449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113001534525026,"score_gpt":0.4417746014732709,"score_spread":0.3287730669482449,"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."}}