{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"2a1056cdbde5","filters":{"venue":"ERU Research Journal"}},"results":[{"id":"W4415910874","doi":"10.21608/erurj.2025.323692.1184","title":"MACET: A Novel Approach to Secure Multimodal Biometric Authentication with Cancellable Templates","year":2025,"lang":"en","type":"article","venue":"ERU Research Journal","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Biometrics; Spoofing attack; Robustness (evolution); Authentication (law); Affine transformation; Iris recognition; Signature recognition; Pattern recognition (psychology); Access control","authors":[{"name":"Mohammed A.‐M. Salem","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0696566173848934,"gpt":0.3730178343465256,"spread":0.3033612169616322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168016,0.0006020014,0.0006084954,0.0008452438,0.0003224242,0.0008100109,0.0009822624,0.0007044654,0.003801241],"category_scores_gemma":[0.002370712,0.0002332673,0.0008409615,0.0008111718,0.000712866,0.001641144,0.001787572,0.0008349992,0.001646539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003000952,"about_ca_system_score_gemma":0.0005240883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005017333,"about_ca_topic_score_gemma":0.0005239515,"domain_scores_codex":[0.9990432,0.0001781676,0.0000679225,0.0001601034,0.0004814597,0.00006912135],"domain_scores_gemma":[0.9992582,0.0001738831,0.00009748646,0.0002817845,0.0001515481,0.0000371822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007034448,0.00009766615,0.001484622,0.0002430902,0.0001111786,0.000691884,0.0002248543,0.05199653,0.1379734,0.04240392,0.005163296,0.7589062],"study_design_scores_gemma":[0.00003398153,0.0004676087,0.001538437,0.00004539089,0.00005427534,0.00289146,0.00008075043,0.821688,0.1235971,0.01638673,0.03313743,0.00007883803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00646145,0.0002536718,0.9908404,0.00005839299,0.00006601596,0.00006526334,0.00006079222,0.001117993,0.001076003],"genre_scores_gemma":[0.3098099,0.0006758937,0.6797192,0.0002379391,0.0001115893,0.0001874988,0.000565285,0.000225403,0.008467239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003801241,"threshold_uncertainty_score":0.01271635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}