{"id":"W2139420873","doi":"10.1371/journal.pone.0003022","title":"Culture Shapes How We Look at Faces","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":631,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; Medical Research Council; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Intuition; Perception; Stimulus (psychology); Face perception; Visual perception; Face (sociological concept); Cognitive psychology; Eye movement; Artificial intelligence; Computer vision; Psychology; Biology; Computer science; Cognitive science; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000019361,0.0000806138,0.00009646986,0.00003183687,0.0001994992,0.00002460559,0.00008645919,0.00005759684,0.001860481],"category_scores_gemma":[0.0001050146,0.00006759418,0.00003336782,0.00009796706,0.00007929632,0.0001576811,0.00003099862,0.00009521284,0.002876544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462425,"about_ca_system_score_gemma":0.00000785245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001501609,"about_ca_topic_score_gemma":0.000009379499,"domain_scores_codex":[0.9992828,0.00004288231,0.00005875859,0.0002084352,0.00026519,0.0001418987],"domain_scores_gemma":[0.9997756,0.00003028124,0.00002994823,0.00007671217,0.00002441128,0.00006304967],"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":[0.000009205581,0.0002562221,0.0005216304,0.00002253599,0.000003760912,0.000008023041,0.0009160766,6.906529e-7,0.9921202,0.00001533165,0.005790123,0.0003362106],"study_design_scores_gemma":[0.0002942471,0.00008492768,0.002000542,0.00006005582,0.00001418944,0.00002814853,0.000114375,0.0004274944,0.9778186,0.0000840193,0.01889624,0.0001771313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861494,0.00008247894,0.000009731903,0.003860544,0.00002915914,0.0001342774,0.00002799199,0.0001380865,0.009568383],"genre_scores_gemma":[0.9472373,0.002963784,0.0002561808,0.0009639784,0.00008192402,0.00001368839,0.000006140721,0.000009513107,0.04846755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03891211,"threshold_uncertainty_score":0.9990519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691028945475276,"score_gpt":0.2569255716243414,"score_spread":0.0878226770768138,"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."}}