{"id":"W2549238875","doi":"10.1038/srep37494","title":"“Hearing faces and seeing voices”: Amodal coding of person identity in the human brain","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; Medical Research Council; Biotechnology and Biological Sciences Research Council; Fondation pour la Recherche Médicale; Wellcome Trust","keywords":"Amodal perception; Functional magnetic resonance imaging; Psychology; Stimulus modality; Middle temporal gyrus; Stimulus (psychology); Superior temporal sulcus; Voxel; Fusiform face area; Sensory system; Modalities; Neuroscience; Modality (human–computer interaction); Sulcus; Brain activity and meditation; Cognitive psychology; Computer science; Face perception; Perception; Artificial intelligence; Electroencephalography","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":[0.000181355,0.0001178077,0.00006400004,0.0002250749,0.0001493867,0.0003781978,0.000134158,0.0002987464,0.001288835],"category_scores_gemma":[0.000507749,0.00007595884,0.0001203897,0.0001056458,0.0006370937,0.000775244,0.0002398153,0.000178398,0.0001453235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007578405,"about_ca_system_score_gemma":0.0001263831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004255226,"about_ca_topic_score_gemma":0.0009271707,"domain_scores_codex":[0.9999536,0.000009814514,0.000001657594,0.00001635623,0.00001247556,0.000006040892],"domain_scores_gemma":[0.9999485,0.00002134962,0.000008889844,0.000008223478,0.00000555525,0.000007339968],"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":[0.0003621225,0.00004329394,0.006384763,0.0001353445,0.00002775218,0.0005464871,0.0008556265,0.0004920991,0.8508421,0.003876085,0.0004690493,0.1359653],"study_design_scores_gemma":[0.0001030315,0.001229398,0.467295,0.00007838236,0.0001606859,0.009513442,0.002443644,0.02393354,0.4397404,0.04882576,0.006605664,0.00007119738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430114,0.0007969914,0.0499283,0.0005028846,0.00004600035,0.00002494916,0.00006766903,0.00009702918,0.005524798],"genre_scores_gemma":[0.9849927,0.0002363918,0.01377315,0.0001165405,0.00003206894,0.000006169674,0.00003280603,0.000008563434,0.0008016808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001288835,"threshold_uncertainty_score":0.004311562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08526827034031804,"score_gpt":0.3322961563772058,"score_spread":0.2470278860368878,"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."}}