{"id":"W2132934054","doi":"10.1068/p3339","title":"Configural Face Processing Develops more Slowly than Featural Face Processing","year":2002,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":660,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Face (sociological concept); Set (abstract data type); Psychology; Contrast (vision); Face perception; Artificial intelligence; Computer vision; Pattern recognition (psychology); Communication; Computer science; Cognitive psychology; Perception; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008576747,0.0003402494,0.0005459363,0.0005712814,0.0001860362,0.0008616947,0.0003603866,0.0004424,0.002411855],"category_scores_gemma":[0.003912273,0.0002649005,0.0002492529,0.0002243419,0.0005490135,0.001259785,0.0004907753,0.0008886369,0.0007406542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500198,"about_ca_system_score_gemma":0.0003709387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128364,"about_ca_topic_score_gemma":0.001620288,"domain_scores_codex":[0.9995049,0.00003747564,0.0000328311,0.0001473378,0.0002140863,0.00006328343],"domain_scores_gemma":[0.9972242,0.0006888728,0.0007583612,0.0004210792,0.0005795131,0.0003280172],"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":[0.0004670802,0.0002742082,0.1904348,0.0002102808,0.00006906019,0.001091989,0.001622941,0.0006614757,0.6512128,0.002080337,0.0009647922,0.1509101],"study_design_scores_gemma":[0.00002110157,0.001493918,0.9027854,0.00005636591,0.00004534236,0.003783411,0.0006169238,0.001562153,0.08395436,0.001640121,0.00399572,0.00004523922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957749,0.0002887157,0.002003122,0.00004534577,0.00001249009,0.0000110701,0.0001126109,0.00006403352,0.001687722],"genre_scores_gemma":[0.9925909,0.0004674531,0.004645885,0.00005133126,0.000009523205,0.00003339874,0.0003071955,0.00003269043,0.001861661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002411855,"threshold_uncertainty_score":0.008068442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07887539313004559,"score_gpt":0.303584198123097,"score_spread":0.2247088049930514,"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."}}