{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004423952,0.0005454776,0.0004954484,0.0001823817,0.0001754372,0.0004694866,0.000204262,0.0002403333,0.00188029],"category_scores_gemma":[0.003231607,0.0002879284,0.0001439106,0.0001589772,0.0002660491,0.0002692408,0.0005197126,0.0003252795,0.000205235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881069,"about_ca_system_score_gemma":0.0002547248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003884118,"about_ca_topic_score_gemma":0.0006349691,"domain_scores_codex":[0.9995453,0.0001084847,0.00005079534,0.0001305194,0.00009446064,0.00007047965],"domain_scores_gemma":[0.9988751,0.0006472672,0.0001841106,0.00007926627,0.00008443711,0.0001298913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004444536,0.0001291018,0.002707423,0.0001077058,0.0000258846,0.00006680704,0.0001418049,0.0001779575,0.988622,0.0001240412,0.00005229727,0.003400372],"study_design_scores_gemma":[0.0005707999,0.004599921,0.739852,0.00005199862,0.000294649,0.000601028,0.0003379421,0.006576552,0.2443124,0.001277357,0.001450871,0.00007439257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997467,0.0001211126,0.001150273,0.00002150338,0.00001764841,0.00004504429,0.00009506066,0.00001574982,0.001066574],"genre_scores_gemma":[0.9969393,0.0001538777,0.001956844,0.0000434995,0.00002197669,0.0002173635,0.0001890469,0.00004174156,0.000436378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00188029,"threshold_uncertainty_score":0.006290197,"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."}}