{"id":"W3134897636","doi":"10.3389/fpsyg.2021.618606","title":"The Gaze Cueing Effect and Its Enhancement by Facial Expressions Are Impacted by Task Demands: Direct Comparison of Target Localization and Discrimination Tasks","year":2021,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Universities Space Research Association","keywords":"Gaze; Psychology; Task (project management); Cognitive psychology; Facial expression; Cognition; Emotional expression; Context (archaeology); Social cue; Eye tracking; Expression (computer science); Communication; Neuroscience; Computer science; 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":[0.0001753336,0.0001092297,0.0002088932,0.00006538092,0.0001774859,0.00002889285,0.00006330939,0.0001060253,0.00003725109],"category_scores_gemma":[0.0003463925,0.00008722517,0.00002082998,0.0001819231,0.0001165659,0.0001110099,0.00002814178,0.0001292539,0.000001750022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002227013,"about_ca_system_score_gemma":0.000007249079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003492376,"about_ca_topic_score_gemma":0.000009450735,"domain_scores_codex":[0.9986386,0.000506604,0.0002391686,0.0003163409,0.0001250907,0.0001741826],"domain_scores_gemma":[0.9995592,0.000127267,0.0001352243,0.00009931417,0.00002888116,0.00005006886],"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":[0.0001477342,0.0001545953,0.02549233,0.00004521933,0.00000758693,0.000001614728,0.001320134,0.000009850406,0.8651264,0.000007116804,0.05990197,0.04778549],"study_design_scores_gemma":[0.002934127,0.0004424996,0.01499399,0.0002540898,0.00004134264,0.00001095148,0.001753149,0.02079809,0.9258533,0.0007882579,0.03177704,0.0003531647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023662,0.005196292,0.08910813,0.0007624968,0.001209654,0.0004188798,0.0001525941,0.00002810816,0.0007576912],"genre_scores_gemma":[0.9966395,0.002723866,0.0001560987,0.0002429087,0.00001283996,0.00003305922,0.00009522557,0.00000866793,0.00008779366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09427339,"threshold_uncertainty_score":0.3556939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258133544882212,"score_gpt":0.3381725290222268,"score_spread":0.3155911935734046,"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."}}