{"id":"W2571289338","doi":"10.1167/16.12.740","title":"Looking eye to eye: Face context and featural fixation modulate early neural markers of face perception","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nasion; Fixation (population genetics); Eye tracking; Context (archaeology); Ocular dominance; Eye movement; Nose; Psychology; Biology; Anatomy; Computer vision; Neuroscience; Computer science","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":[0.0001492986,0.0003935129,0.0002868716,0.0001732978,0.0001379094,0.0002202274,0.0002012738,0.0003470638,0.002271454],"category_scores_gemma":[0.0007458108,0.0001507703,0.0002037189,0.0001034849,0.0002290055,0.0003506653,0.0004167868,0.0003732207,0.0001574872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213723,"about_ca_system_score_gemma":0.0002133185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064531,"about_ca_topic_score_gemma":0.002232803,"domain_scores_codex":[0.999904,0.000009963186,0.000005122811,0.00003950691,0.00002267666,0.00001874871],"domain_scores_gemma":[0.999808,0.0000784132,0.00004486059,0.00001353569,0.00002162013,0.00003368026],"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":[0.000240838,0.00001303441,0.0005609593,0.00003933035,0.000005139597,0.0000513147,0.00003302215,0.00001728313,0.9968024,0.00002621303,0.00002738382,0.00218301],"study_design_scores_gemma":[0.0000911557,0.001242021,0.5642881,0.00004841779,0.0001102314,0.0009135331,0.0001678357,0.002347337,0.4288421,0.0007802462,0.001140976,0.0000279227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964017,0.0004918352,0.001678312,0.00004127345,0.00003493741,0.00001856122,0.00009476218,0.00002818204,0.001210538],"genre_scores_gemma":[0.995784,0.0003478223,0.002504433,0.0001136079,0.00002703997,0.00004949536,0.0001909519,0.00004167553,0.0009409877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002271454,"threshold_uncertainty_score":0.007598758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432413287197996,"score_gpt":0.3099318828933473,"score_spread":0.2856077500213674,"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."}}