{"id":"W4389766242","doi":"10.1371/journal.pone.0295256","title":"Differences in eye movements for face recognition between Canadian and Chinese participants are not modulated by social orientation","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Eye movement; Collectivism; Psychology; Priming (agriculture); Fixation (population genetics); Cognitive psychology; Contrast (vision); Face (sociological concept); Facial recognition system; Perception; Face perception; Social perception; Social psychology; Individualism; Biology; Sociology; Population; Demography; Neuroscience; Artificial intelligence; Political science; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006639592,0.0003701693,0.0002750787,0.0003574787,0.0008672473,0.0004579917,0.0003051304,0.0003102971,0.006239754],"category_scores_gemma":[0.00343216,0.0001269337,0.0002066754,0.0002607332,0.0006926186,0.0003887726,0.000357099,0.0003072233,0.0003590373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130975,"about_ca_system_score_gemma":0.001498935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3017312,"about_ca_topic_score_gemma":0.5197716,"domain_scores_codex":[0.9995643,0.00003424585,0.00002016022,0.0001427338,0.0001211694,0.0001173057],"domain_scores_gemma":[0.9992025,0.0002017155,0.0001078559,0.00009045284,0.0002700714,0.0001274214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004834189,0.0004186148,0.4506164,0.0003070124,0.0001829518,0.0004576084,0.03082436,0.0003033422,0.4327767,0.001837548,0.003186036,0.07425517],"study_design_scores_gemma":[0.00001867539,0.00008203953,0.9935538,0.00000483207,0.00002084604,0.00007593439,0.001496047,0.0002009067,0.003531457,0.0001280204,0.0008632353,0.00002427643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956416,0.00004895508,0.0002951668,0.00003669851,0.00001314096,0.00003122086,0.0002205239,0.0000110262,0.003701526],"genre_scores_gemma":[0.9968206,0.00003427858,0.000327337,0.00004456917,0.000003151,0.00004329939,0.0002360632,0.00001086517,0.002479926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6982688,"threshold_uncertainty_score":0.5999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2520679693223579,"score_gpt":0.3301285358656814,"score_spread":0.0780605665433235,"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."}}