{"id":"W2312349259","doi":"10.1177/0165025413480914","title":"Development of face processing: New evidence on multi-modal contributions, scanning, and recognition","year":2013,"lang":"en","type":"article","venue":"International Journal of Behavioral Development","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Cognitive psychology; Facial recognition system; Developmental psychology; Face (sociological concept); Eye tracking; Cognition; Eye movement; Cognitive science; Linguistics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658303,0.0001434055,0.0001734355,0.0002756409,0.00009773721,0.0001116053,0.0002366547,0.00006718405,0.0004018446],"category_scores_gemma":[0.0001980401,0.000126196,0.00004417462,0.0001023662,0.00005903604,0.0006566128,0.00005674272,0.0001918939,0.0001191876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259905,"about_ca_system_score_gemma":0.0005557276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002210023,"about_ca_topic_score_gemma":0.00001010133,"domain_scores_codex":[0.9981512,0.00005360164,0.0007300575,0.0001897793,0.0007210793,0.0001542164],"domain_scores_gemma":[0.9984895,0.00005532408,0.0005280307,0.00004723028,0.0007164282,0.0001634837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000910656,0.0003157344,0.001127664,0.00001001245,0.00001029856,0.00000942456,0.003396619,0.000007720023,0.2900081,0.000006210947,0.0002487984,0.7047684],"study_design_scores_gemma":[0.00191048,0.0002163619,0.1073618,0.001653569,0.00002284889,0.0002202932,0.0008601126,0.0001524352,0.8838617,0.0001429932,0.003259418,0.0003379416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921003,0.00005863328,0.006665912,0.0005093025,0.0004029324,0.0001996665,0.000008125633,0.00001521333,0.00003990335],"genre_scores_gemma":[0.9652502,0.00007272365,0.03411488,0.000204307,0.00005564889,0.00001392898,0.000009485183,0.000009652803,0.0002691557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7044305,"threshold_uncertainty_score":0.5146122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1820048944626139,"score_gpt":0.3954673309191974,"score_spread":0.2134624364565835,"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."}}