{"id":"W2079091192","doi":"10.1016/j.visres.2004.06.025","title":"Interactions between the processing of gaze direction and facial expression","year":2004,"lang":"en","type":"article","venue":"Vision Research","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Gaze; Expression (computer science); Facial expression; Psychology; Cognitive psychology; Eye tracking; Visual processing; Communication; Perception; Artificial intelligence; Computer science; Neuroscience","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":[0.0005077649,0.0000490996,0.00006375795,0.0001753023,0.0004922986,0.00007639331,0.00009203199,0.00003973946,0.0001960326],"category_scores_gemma":[0.0004477634,0.00003209883,0.00002236053,0.0004050434,0.0002048706,0.000239774,0.00007707672,0.0003004232,0.00005844424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003188304,"about_ca_system_score_gemma":0.00003451045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005435475,"about_ca_topic_score_gemma":0.00001264118,"domain_scores_codex":[0.9988472,0.0002455919,0.0001312534,0.0001949089,0.0004343879,0.0001466486],"domain_scores_gemma":[0.9994458,0.0002692239,0.00003629443,0.0001000153,0.00009757828,0.00005111285],"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":[0.00002175014,0.00003405838,0.0002569374,0.0000149436,3.103876e-7,4.007327e-7,0.0005290784,0.000009018282,0.8007762,0.00002781488,0.0001313608,0.1981981],"study_design_scores_gemma":[0.0004329153,0.0001762159,0.03790812,0.0002740178,0.000002801018,0.000009276239,0.0006213316,0.0003006573,0.9445806,0.001848884,0.01376809,0.00007707236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993775,0.00002169175,0.0006217907,0.001358455,0.00007048944,0.0001992358,0.00000760161,0.00002981158,0.003915919],"genre_scores_gemma":[0.9993944,0.0001222544,0.00008401489,0.00002735503,0.00007269291,0.00001315436,0.000001969858,0.000006083219,0.0002780813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198121,"threshold_uncertainty_score":0.3786412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194838946884167,"score_gpt":0.4832902528969423,"score_spread":0.2638063582085256,"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."}}