{"id":"W1968989606","doi":"10.1162/089892905774597254","title":"Does Prosopagnosia Take the Eyes Out of Face Representations? Evidence for a Defect in Representing Diagnostic Facial Information following Brain Damage","year":2005,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology; Neuropsychology; Cognitive psychology; Face (sociological concept); Neuroscience; Facial recognition system; Visual agnosia; Audiology; Cognition; Pattern recognition (psychology); Perception","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":[0.0006339762,0.000622227,0.0003791252,0.001125602,0.0002575424,0.0004559274,0.0004722418,0.001346989,0.002188363],"category_scores_gemma":[0.00301788,0.0003640606,0.0002093702,0.0003167931,0.003229339,0.001001527,0.0005534833,0.0006416714,0.0003580328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305698,"about_ca_system_score_gemma":0.0001617576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007063588,"about_ca_topic_score_gemma":0.0004712844,"domain_scores_codex":[0.9997038,0.00005277114,0.00005253819,0.00007421094,0.00007912901,0.00003752698],"domain_scores_gemma":[0.998768,0.0005698707,0.0003188139,0.0001861866,0.00006970482,0.00008737167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003787776,0.001350629,0.5064255,0.0003798172,0.0002927313,0.1962435,0.004905649,0.0004493656,0.2278462,0.002417492,0.0008891642,0.05501213],"study_design_scores_gemma":[0.0001243235,0.002556065,0.5805237,0.00005027397,0.000190133,0.3769158,0.002137163,0.001101238,0.03141868,0.003343894,0.001588762,0.00004995195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979448,0.0001555666,0.0002489031,0.0002136358,0.00000775624,0.0000112244,0.00003125603,0.00001162293,0.001375232],"genre_scores_gemma":[0.9991879,0.0002622221,0.0001688537,0.00007988342,0.00001902406,0.000007223362,0.00004158946,0.000004630347,0.0002286069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188363,"threshold_uncertainty_score":0.007320762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026245305602969,"score_gpt":0.3954837292584242,"score_spread":0.2928591986981273,"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."}}