{"id":"W2133555949","doi":"10.1109/ccece.2003.1226104","title":"Sample images can be independently restored from face recognition templates","year":2004,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biometrics; Computer science; Template; Artificial intelligence; Sample (material); Context (archaeology); Facial recognition system; Encryption; Computer vision; Face (sociological concept); Image (mathematics); Pattern recognition (psychology); Computer security","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":[0.000168988,0.00009401723,0.00009596138,0.0002228779,0.0001291569,0.0002996645,0.0005239825,0.00007609909,0.0001403251],"category_scores_gemma":[0.0001341827,0.00008809209,0.00004170827,0.0007634103,0.00003386627,0.0004060293,0.0001118726,0.0001034375,0.0001566037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008127559,"about_ca_system_score_gemma":0.00007136769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617382,"about_ca_topic_score_gemma":0.0009813606,"domain_scores_codex":[0.9989451,0.00003713788,0.000187795,0.0003622741,0.0002971733,0.0001705585],"domain_scores_gemma":[0.9992229,0.0001095686,0.00006889354,0.0004010039,0.0001013393,0.00009629076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000700463,0.002213667,0.01488027,0.00007297556,0.0003386608,0.0001365219,0.02388904,0.000114556,0.07629681,0.1554164,0.08859891,0.6379721],"study_design_scores_gemma":[0.003390312,0.0001657532,0.1502113,0.00004523046,0.00003043723,0.00002956509,0.001146667,0.002404046,0.4593945,0.3386379,0.04324141,0.001302857],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.153649,0.00007770209,0.8371278,0.006961234,0.0004256552,0.0001531609,0.0001876723,0.0003359601,0.00108182],"genre_scores_gemma":[0.917477,0.000024211,0.08107279,0.0009105252,0.00003775489,0.000008391828,0.0001589975,0.000005311389,0.0003049784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.763828,"threshold_uncertainty_score":0.9903775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991123238049745,"score_gpt":0.2629148847747503,"score_spread":0.2130036523942529,"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."}}