{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001785353,0.0001500328,0.000115306,0.0002275432,0.0006740266,0.0003123366,0.00007748684,0.0001427439,0.002409922],"category_scores_gemma":[0.000160287,0.0001580213,0.00007323452,0.0002726075,0.0002166959,0.0007139939,0.00002055019,0.000287065,0.0008903221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008951621,"about_ca_system_score_gemma":0.0000615861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001208946,"about_ca_topic_score_gemma":0.00007123119,"domain_scores_codex":[0.998746,0.0001288282,0.0002319122,0.0003745737,0.0002733679,0.0002453192],"domain_scores_gemma":[0.999603,0.00003786345,0.00009939347,0.000134541,0.00004301345,0.00008212847],"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":[0.00001627602,0.00005258923,0.0006053513,0.00001342911,9.395262e-7,0.000001211556,0.005395054,0.00002085987,0.9745011,0.0002648997,0.0000589062,0.01906933],"study_design_scores_gemma":[0.002577062,0.0003838378,0.5339149,0.0001392071,0.00006549524,0.0007246857,0.01976112,0.2363048,0.1743172,0.009426088,0.02038274,0.002002832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772866,0.000001963545,0.01957753,0.0002406372,0.001205702,0.0002236878,0.000005580189,0.0002247763,0.001233519],"genre_scores_gemma":[0.9981803,0.00001926809,0.0008602272,0.0003118071,0.000387267,0.0000186124,0.00004378742,0.00002245955,0.0001562998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.800184,"threshold_uncertainty_score":0.9998876,"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."}}