{"id":"W3042292785","doi":"10.1016/j.tics.2020.06.006","title":"The Face of Image Reconstruction: Progress, Pitfalls, Prospects","year":2020,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; The Scarborough Hospital; University of Toronto","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Face (sociological concept); Psychology; Facial recognition system; Cognitive science; Face perception; Cognitive psychology; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroscience; Perception; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005893791,0.0003341065,0.0007642276,0.0003837877,0.0004167824,0.0002098728,0.0006190664,0.0001376703,0.0004469388],"category_scores_gemma":[0.0008529168,0.0002085121,0.0002733353,0.003124547,0.003598309,0.0003383817,0.0001262559,0.0004773456,0.0001858993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005516069,"about_ca_system_score_gemma":0.0002887124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004415734,"about_ca_topic_score_gemma":0.00003078654,"domain_scores_codex":[0.9970158,0.0005383111,0.0006345142,0.0008636478,0.0005627102,0.0003850561],"domain_scores_gemma":[0.9982597,0.0008745546,0.0005541801,0.0001485671,0.00007795549,0.00008502437],"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":[0.000006273448,0.00003516492,0.00001188688,0.0003557313,0.000004631565,0.000009350331,0.0001528358,3.326713e-8,0.0000116975,0.0001889419,0.00008406385,0.9991394],"study_design_scores_gemma":[0.0008381713,0.000857475,0.0001975205,0.021407,0.0003206542,0.0005733892,0.002527272,0.0001986136,0.001324609,0.001343168,0.9690451,0.001367031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001277084,0.9638788,0.0000117633,0.0004158259,0.000711277,0.0007538546,0.0002316517,0.00008193134,0.03378716],"genre_scores_gemma":[0.001867478,0.9971937,0.000155799,0.00004127766,0.00009786388,0.000146307,0.00001191543,0.00001704899,0.0004686086],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9977723,"threshold_uncertainty_score":0.9991133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2892247421083901,"score_gpt":0.4597204333898263,"score_spread":0.1704956912814362,"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."}}