{"id":"W2172074060","doi":"10.1002/wcs.146","title":"Development of face processing","year":2011,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Cognitive Science","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Categorization; Cognitive psychology; Developmental psychology; Cognition; Competence (human resources); Face (sociological concept); Nature versus nurture; Cognitive development; Cognitive science; Social psychology; Computer science; Neuroscience; Artificial intelligence","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":[0.0006000869,0.0006357317,0.0004896921,0.001189728,0.0005557375,0.001469679,0.0007249266,0.0009389803,0.009875793],"category_scores_gemma":[0.001180035,0.0002692929,0.0004630103,0.0004530369,0.0009500636,0.001699301,0.001040367,0.0009322379,0.003671513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018194,"about_ca_system_score_gemma":0.0008927938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976166,"about_ca_topic_score_gemma":0.001474598,"domain_scores_codex":[0.9996062,0.00005102922,0.00002836279,0.0001154358,0.0001548861,0.00004407451],"domain_scores_gemma":[0.9997216,0.00009206194,0.00003659967,0.00002130373,0.00009704188,0.00003141511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008272924,0.00003730927,0.003058152,0.001265407,0.00002661338,0.001076969,0.000912412,0.0003873191,0.01766062,0.0376129,0.008690522,0.929189],"study_design_scores_gemma":[0.00000917684,0.0002544371,0.03382191,0.00181283,0.00004108289,0.0159622,0.0007602983,0.0005779663,0.01664333,0.03172698,0.8983041,0.00008572632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04935784,0.6466631,0.05673734,0.003949878,0.002133272,0.0002124546,0.0008307032,0.0006156121,0.2394998],"genre_scores_gemma":[0.2501437,0.6184237,0.04665941,0.002248818,0.001395695,0.0002384952,0.001269169,0.0002805905,0.07934044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009875793,"threshold_uncertainty_score":0.03303784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2727573668695398,"score_gpt":0.4446053585660417,"score_spread":0.1718479916965019,"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."}}