{"id":"W7127280863","doi":"10.1109/ccece64018.2025.11364442","title":"An Enhanced NPCR (ENPCR) Metric with Improved Image/ Video Frame Security","year":2025,"lang":"","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Beef Farmers of Ontario; University of Guelph","funders":"","keywords":"Encryption; Robustness (evolution); Pixel; Metric (unit); Cryptography; Frame (networking); Plaintext; Cipher","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740189,0.0008534628,0.0006946056,0.001355412,0.0002571123,0.001042468,0.0008867161,0.000794571,0.001620587],"category_scores_gemma":[0.00823292,0.0001581817,0.0004170293,0.001111671,0.0007130165,0.002400067,0.0009252257,0.0007437688,0.0006720857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847714,"about_ca_system_score_gemma":0.0005767577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715956,"about_ca_topic_score_gemma":0.0004249968,"domain_scores_codex":[0.9964256,0.0007197385,0.0003443539,0.0004567194,0.001905309,0.0001482932],"domain_scores_gemma":[0.9953777,0.001470201,0.000731175,0.0005771397,0.001732203,0.0001116781],"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":[0.001985333,0.0003407301,0.00700864,0.001303658,0.0001725584,0.001278203,0.0002969716,0.0904473,0.2867717,0.03544857,0.005914285,0.569032],"study_design_scores_gemma":[0.00005818997,0.002202291,0.009943599,0.0001138768,0.0001542032,0.004526076,0.0001753735,0.6503708,0.3017124,0.008190958,0.02235115,0.0002011058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1212541,0.002380661,0.8583924,0.0003834809,0.0004722414,0.0003257644,0.0005283681,0.001788983,0.01447405],"genre_scores_gemma":[0.72469,0.001029675,0.2687978,0.0001470654,0.0001338009,0.0001704881,0.0006968866,0.0001696024,0.004164567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001740189,"threshold_uncertainty_score":0.009203076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00498686160266394,"score_gpt":0.2537019573383161,"score_spread":0.2487150957356521,"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."}}