{"id":"W1976528305","doi":"10.1068/p6683","title":"Mapping Emotion Category Boundaries Using a Visual Expectation Paradigm","year":2010,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Facial expression; Psychology; Eye movement; Cognitive psychology; Stimulus (psychology); Perception; Eye tracking; Emotional expression; Categorical perception; Categorical variable; Face perception; Expression (computer science); Categorization; Communication; Computer science; Artificial intelligence; Neuroscience; Speech perception","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008441806,0.0003324252,0.0002074143,0.000209962,0.0001946742,0.0004708814,0.0004273142,0.0005625654,0.002902693],"category_scores_gemma":[0.004638353,0.0001642104,0.0001645644,0.0001005538,0.0004700383,0.0007662213,0.0009104186,0.0007999613,0.0003053186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059179,"about_ca_system_score_gemma":0.0001890891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960925,"about_ca_topic_score_gemma":0.0002628746,"domain_scores_codex":[0.9993579,0.0001970396,0.00005239304,0.0001530274,0.0001729921,0.00006669688],"domain_scores_gemma":[0.9987814,0.0006739417,0.0001358571,0.0001286542,0.0001609523,0.0001191513],"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":[0.001522843,0.0004057573,0.001413304,0.0001134715,0.0000118016,0.0001232853,0.0006251149,0.000424964,0.9678431,0.003990586,0.000262198,0.02326358],"study_design_scores_gemma":[0.001327612,0.01397094,0.1568196,0.0001205437,0.0001026656,0.002760466,0.001299218,0.05793916,0.708436,0.04562969,0.01137462,0.0002195414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881911,0.00007072151,0.1012325,0.0002295318,0.00008563017,0.0004649935,0.0001902955,0.0002228878,0.009312251],"genre_scores_gemma":[0.961845,0.0000501245,0.03568823,0.0001583002,0.00002326198,0.0007351487,0.0001380683,0.00005684835,0.001305113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002902693,"threshold_uncertainty_score":0.009710431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06213467361158033,"score_gpt":0.3256218886343837,"score_spread":0.2634872150228034,"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."}}