{"id":"W2946744782","doi":"10.3390/brainsci9050116","title":"Joint Modulation of Facial Expression Processing by Contextual Congruency and Task Demands","year":2019,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; John D. and Catherine T. MacArthur Foundation","keywords":"Psychology; Facial expression; Anger; Cognitive psychology; Context (archaeology); Happiness; Task (project management); Event-related potential; Cognition; Expression (computer science); Emotional expression; Negativity effect; Social psychology; Communication; Neuroscience; Computer science","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":[0.0003321648,0.00006874076,0.0001028553,0.00007386458,0.0001688274,0.0000915388,0.00008847233,0.00004161759,0.0001873978],"category_scores_gemma":[0.0002830763,0.00005345122,0.00001889059,0.0002014836,0.0003304105,0.0006924691,0.00002840335,0.00004681397,0.0000181925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000711915,"about_ca_system_score_gemma":0.00003684599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001350916,"about_ca_topic_score_gemma":0.000003172199,"domain_scores_codex":[0.9990419,0.00007603019,0.0001696019,0.0002870563,0.0002961776,0.0001292735],"domain_scores_gemma":[0.9996694,0.00009376373,0.0001118299,0.00005221086,0.00002966154,0.00004316593],"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":[0.000006400056,0.000014571,0.001693666,0.00001540239,1.264175e-7,9.725679e-8,0.0005478287,0.00001684416,0.9778827,0.0001040698,0.0002792601,0.01943908],"study_design_scores_gemma":[0.001070746,0.0004156692,0.03877781,0.0002214985,0.000003589827,0.00001659969,0.001749026,0.03237627,0.9203092,0.001527686,0.003202259,0.0003296361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957712,0.00003268293,0.0008208999,0.0004005168,0.0001108927,0.0001631921,0.00001673669,0.00002347252,0.002660462],"genre_scores_gemma":[0.9990014,0.00001445654,0.000112626,0.0003486645,0.00001449437,0.000003571573,0.000002592238,0.000002864754,0.0004992859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05757345,"threshold_uncertainty_score":0.2179678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073634735835494,"score_gpt":0.2996742560355272,"score_spread":0.2489379086771722,"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."}}