{"id":"W109431975","doi":"10.1093/oxfordhb/9780199559053.013.0007","title":"The Functional Architecture of the Face System: integrating Evidence from fMRI and Patient Studies","year":2011,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Architecture; Functional connectivity; Face (sociological concept); Psychology; Neuroscience; Cognitive science; Computer science; Communication; Cognitive psychology; Computer architecture; Sociology; Art; Visual arts","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":[0.00007669585,0.0001852043,0.0001926332,0.00003965677,0.0005526964,0.00003045207,0.0003221837,0.0001279078,0.00000791819],"category_scores_gemma":[0.0001323037,0.0001122459,0.0001099427,0.00001537025,0.0005156901,0.00006210697,0.0003961993,0.0004077695,6.704252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243625,"about_ca_system_score_gemma":0.0000901546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006998031,"about_ca_topic_score_gemma":0.000101245,"domain_scores_codex":[0.9988486,0.0002714593,0.0001528893,0.0003145501,0.0002853022,0.0001272677],"domain_scores_gemma":[0.9985477,0.0007384079,0.0002989469,0.0002789529,0.00009625477,0.00003969368],"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":[0.003792797,0.0001485304,0.0003457692,0.00358387,0.00121561,0.0001104758,0.1491311,0.0004212908,0.05008784,0.2664854,0.05747021,0.4672071],"study_design_scores_gemma":[0.0003384754,0.0001386915,0.0002788475,0.003178837,0.0002490671,0.00002085971,0.00879254,0.0001556429,0.008347907,0.0006336637,0.9775116,0.0003539112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05329942,0.001193012,0.0008118041,0.0001334149,0.001470096,0.001395835,0.0005517711,0.0001343094,0.9410104],"genre_scores_gemma":[0.1298294,0.001836975,0.00008877844,0.000105375,0.00009064162,0.000005525582,0.000006830242,0.00002740312,0.8680091],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9200413,"threshold_uncertainty_score":0.4577254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08695656230117181,"score_gpt":0.234200514141203,"score_spread":0.1472439518400312,"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."}}