{"id":"W4295899758","doi":"10.1037/xhp0001046","title":"Don’t look at me like that: Integration of gaze direction and facial expression.","year":2022,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Gaze; Psychology; Facial expression; Expression (computer science); Cognitive psychology; Emotional expression; Orientation (vector space); Eye tracking; Communication; Artificial intelligence; Computer 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":[0.0003460369,0.0001719403,0.000249715,0.0003293838,0.0006445426,0.00002227155,0.0001828784,0.00008748301,0.008586845],"category_scores_gemma":[0.00001245854,0.0001597,0.0001206511,0.0001427176,0.0002531604,0.0005897103,0.0001042534,0.0004059341,0.00002954645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280131,"about_ca_system_score_gemma":0.00001481135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005048434,"about_ca_topic_score_gemma":0.000003178426,"domain_scores_codex":[0.9982616,0.000282921,0.0005303521,0.0002926029,0.0004498597,0.0001826754],"domain_scores_gemma":[0.9991369,0.00002610982,0.0005428735,0.0001525774,0.00005187863,0.00008962515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005318579,0.0003171396,0.002166226,0.000007903051,0.000004013646,0.000002600291,0.003759464,0.00003334504,0.986963,0.000008682932,0.00220604,0.003999745],"study_design_scores_gemma":[0.002878168,0.003062229,0.1250727,0.00007978194,0.00002207235,0.001335914,0.006540857,0.0004646812,0.8525457,0.00005507121,0.007609293,0.0003335851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996478,0.0001308319,0.00007773231,0.0001093466,0.001064289,0.0001671952,0.0000125164,0.00002409323,0.001935952],"genre_scores_gemma":[0.9977545,0.0004307441,0.0001561042,0.0006775263,0.0001455746,0.00002576818,0.00001272011,0.00001779993,0.0007793197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344173,"threshold_uncertainty_score":0.9923195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07127083197752446,"score_gpt":0.3563045131569045,"score_spread":0.28503368117938,"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."}}