{"id":"W3011803159","doi":"10.1016/j.neuropsychologia.2020.107440","title":"Characterizing the neural signature of face processing in Williams syndrome via multivariate pattern analysis and event related potentials","year":2020,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Williams Syndrome Research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leverhulme Trust; University of Oxford; York University","keywords":"Psychology; Face (sociological concept); Cognitive psychology; Neural correlates of consciousness; Cognition; Face perception; Developmental psychology; Facial recognition system; Multivariate statistics; Multivariate analysis; Electroencephalography; Perception; Pattern recognition (psychology); Neuroscience; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003984871,0.0002550615,0.0004702556,0.0002481455,0.0001288884,0.00009045312,0.0006598382,0.0001478627,0.00005928868],"category_scores_gemma":[0.0005998603,0.0001824869,0.0001300493,0.002735767,0.0002482696,0.0002674362,0.0002690556,0.0009171225,0.00002170924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001736041,"about_ca_system_score_gemma":0.0000163751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003989981,"about_ca_topic_score_gemma":0.000001989917,"domain_scores_codex":[0.9966893,0.0008288546,0.0005903827,0.000893261,0.0005137841,0.0004844628],"domain_scores_gemma":[0.9988942,0.0002043356,0.000322048,0.0003980114,0.00004232851,0.0001390994],"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":[0.00004604417,0.00008652594,0.01830876,0.00005251989,0.00002271774,0.0005608408,0.0009805746,0.0004079732,0.9629322,0.000001853675,0.000005025769,0.01659497],"study_design_scores_gemma":[0.0006348853,0.0002820475,0.9344164,0.00004226122,0.00007405791,0.0002498416,0.0000581679,0.0384686,0.02549413,0.00002519746,0.00002084182,0.0002335568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927635,0.0000986447,0.001749082,0.004638215,0.0001134682,0.0004919752,0.00002097928,0.00007721418,0.00004696758],"genre_scores_gemma":[0.9984569,0.00004556363,0.00002851059,0.001364169,0.00001327866,0.00001639047,0.000004151992,0.00003552705,0.00003549107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9374381,"threshold_uncertainty_score":0.7441601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03579628291394259,"score_gpt":0.3087552548311398,"score_spread":0.2729589719171972,"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."}}