{"id":"W1175681063","doi":"10.1016/j.bandc.2015.05.007","title":"Fixation to features and neural processing of facial expressions in a gender discrimination task","year":2015,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario","keywords":"Psychology; Fixation (population genetics); Stimulus (psychology); Facial expression; Cognitive psychology; Eye tracking; Eye movement; Audiology; Face perception; Communication; Perception; Neuroscience; Artificial intelligence; 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":[0.000474561,0.0004435879,0.0004153752,0.0003415994,0.0002796932,0.0006517097,0.0003808547,0.0007263024,0.00469686],"category_scores_gemma":[0.003481472,0.0003568157,0.0001897889,0.0003665749,0.0003626373,0.0006113537,0.0004123515,0.0006130984,0.0003443348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682723,"about_ca_system_score_gemma":0.000388238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680405,"about_ca_topic_score_gemma":0.004996385,"domain_scores_codex":[0.9998484,0.00002350074,0.000008732803,0.0000453043,0.00004345253,0.00003063431],"domain_scores_gemma":[0.9990835,0.0005447326,0.0001443044,0.00005123552,0.00005591403,0.0001203341],"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":[0.008323062,0.0004505225,0.008504652,0.00007444039,0.00005315405,0.0001328121,0.0003663563,0.0002569919,0.9737698,0.0004331891,0.0003738259,0.007261211],"study_design_scores_gemma":[0.0009992598,0.003324582,0.9365655,0.00004205951,0.000152883,0.0005831874,0.0003412433,0.006517785,0.04848921,0.002161053,0.0007768787,0.00004657908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970163,0.00009565386,0.0006552596,0.00007100958,0.00004292884,0.00004737491,0.0002633962,0.00001022871,0.001797894],"genre_scores_gemma":[0.9953822,0.0001816863,0.001021088,0.0001844009,0.00004266941,0.0001007233,0.0004866166,0.00004173188,0.002558724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00469686,"threshold_uncertainty_score":0.0157125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045495873200911,"score_gpt":0.3327827923439776,"score_spread":0.2282332050238865,"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."}}