{"id":"W2890068064","doi":"10.1016/j.cortex.2018.08.025","title":"One versus two eyes makes a difference! Early face perception is modulated by featural fixation and feature context","year":2018,"lang":"en","type":"article","venue":"Cortex","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Fixation (population genetics); Psychology; Eye movement; Perception; Face perception; Nasion; Gaze; Eye tracking; Audiology; Communication; Optometry; Cognitive psychology; Computer vision; Neuroscience; Anatomy; Medicine; Computer science; Population","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":[0.0003136858,0.000228828,0.0003160564,0.0001825627,0.0003037236,0.001098238,0.0003742194,0.0007156756,0.004612794],"category_scores_gemma":[0.002145075,0.0003665483,0.0002808505,0.0001646775,0.0004613393,0.001677303,0.0005967208,0.0007566664,0.0005633853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698715,"about_ca_system_score_gemma":0.0002245409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507769,"about_ca_topic_score_gemma":0.002514649,"domain_scores_codex":[0.9998705,0.00001369882,0.00000469935,0.00004872542,0.00002906638,0.00003326536],"domain_scores_gemma":[0.9994381,0.0002481013,0.0001147613,0.00006210244,0.00005943657,0.00007747897],"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":[0.001023496,0.0000396018,0.005525386,0.00008473511,0.00002730848,0.0001366294,0.0001606149,0.000146469,0.9656801,0.001794143,0.0008935258,0.024488],"study_design_scores_gemma":[0.0001841364,0.0005009463,0.795694,0.0001247412,0.0001919632,0.001689696,0.0008785712,0.009072034,0.168647,0.01781494,0.005122833,0.0000792365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876616,0.001045519,0.003778302,0.00081109,0.00017395,0.00001172836,0.0002248107,0.00008190031,0.006211117],"genre_scores_gemma":[0.9948035,0.0003327539,0.002341686,0.0002540516,0.00003912027,0.000009696142,0.0001561202,0.00007815423,0.001984823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004612794,"threshold_uncertainty_score":0.01543134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486788625820007,"score_gpt":0.2957261485084124,"score_spread":0.2470472859264117,"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."}}