{"id":"W1986221171","doi":"10.1371/journal.pone.0060128","title":"Optimal Eye-Gaze Fixation Position for Face-Related Neural Responses","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Hôpital Rivière-des-Prairies","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gaze; Fixation (population genetics); Nasion; Eye movement; Visual field; Face perception; Stimulus (psychology); Psychology; Perception; Eye tracking; Scalp; Visual perception; Salient; Artificial intelligence; Communication; Computer vision; Cognitive psychology; Computer science; Neuroscience; Biology; Anatomy","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":[0.0002683989,0.0002647965,0.0003177735,0.0005446728,0.0002179088,0.0003469473,0.0001278834,0.0002914045,0.002851729],"category_scores_gemma":[0.001372364,0.0001369955,0.0001813967,0.0002162956,0.0002188509,0.000303778,0.000280737,0.0001913424,0.0002596752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321679,"about_ca_system_score_gemma":0.0002874473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009469462,"about_ca_topic_score_gemma":0.001557595,"domain_scores_codex":[0.9998527,0.00002746434,0.00001222027,0.00005445562,0.00002303873,0.0000301755],"domain_scores_gemma":[0.9996921,0.0001415528,0.00005363533,0.00002226848,0.00005749327,0.00003309852],"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":[0.0005763671,0.00002033742,0.005697242,0.00008734351,0.00001223066,0.0001208269,0.0001054008,0.0002620189,0.9858205,0.0003006641,0.00008682436,0.006910297],"study_design_scores_gemma":[0.00007369566,0.000525553,0.7785982,0.00005684726,0.00006813226,0.0007404205,0.0003169646,0.006059294,0.2101896,0.002605789,0.0007275714,0.00003791567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901611,0.0005398908,0.006820073,0.00005166709,0.00002003902,0.00004233991,0.0002533398,0.00005397764,0.00205752],"genre_scores_gemma":[0.9978918,0.0001307057,0.0016675,0.00001440877,0.000006235955,0.0000236328,0.0001036318,0.00001469682,0.0001474099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002851729,"threshold_uncertainty_score":0.009539962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09987334352695412,"score_gpt":0.2888166626041584,"score_spread":0.1889433190772043,"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."}}