{"id":"W4412043795","doi":"10.1016/j.optcom.2025.132192","title":"Robust phase-only hologram encryption for iris biometrics using chaotic umbrella mapping and 2D NSLCT transform","year":2025,"lang":"en","type":"article","venue":"Optics Communications","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yorkville University","funders":"","keywords":"Biometrics; Encryption; Holography; Iris recognition; IRIS (biosensor); Computer science; Chaotic; Optics; Phase (matter); Computer vision; Artificial intelligence; Physics; 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":[0.0006766007,0.000190344,0.0002251591,0.0009258676,0.0006991079,0.0003303725,0.001413738,0.0001257363,0.00000222584],"category_scores_gemma":[0.0001853696,0.0002158815,0.0001041857,0.002493754,0.0002208451,0.0004999902,0.0004039926,0.0002514543,0.000004889585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695737,"about_ca_system_score_gemma":0.000197183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005119011,"about_ca_topic_score_gemma":0.00002009029,"domain_scores_codex":[0.9986143,0.0000990136,0.0004356545,0.0003588162,0.0001742028,0.0003180394],"domain_scores_gemma":[0.9971725,0.0006875713,0.0001536462,0.001604211,0.0002929525,0.00008910819],"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":[0.00002853253,0.001286572,0.0001970102,0.000334611,0.0001708552,0.000002633099,0.001717611,0.00385962,0.06042153,0.4004693,0.0002986778,0.531213],"study_design_scores_gemma":[0.001150447,0.0001168792,0.0002425462,0.0001130962,0.00006926121,0.0000159055,0.0001404181,0.9854664,0.0006586927,0.006277641,0.005509538,0.000239239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01063659,0.001158767,0.9811422,0.003810379,0.0001738229,0.0006686922,0.00002599846,0.0001810314,0.002202578],"genre_scores_gemma":[0.3480045,0.000947198,0.6505958,0.0002139466,0.00002034532,0.00005159181,0.00006236091,0.00001450774,0.00008976629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9816067,"threshold_uncertainty_score":0.8803391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329207953012559,"score_gpt":0.3548169378331081,"score_spread":0.2218961425318522,"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."}}