{"id":"W4407641381","doi":"10.3390/computation13020056","title":"Innovative Quantum Encryption Method for RGB Images Based on Bit-Planes and Logistic Maps","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Calgary","funders":"","keywords":"Scrambling; Encryption; RGB color model; Computer science; Algorithm; Robustness (evolution); Computer vision; Bit plane; Color image; Logistic map; Theoretical computer science; Artificial intelligence; Mathematics; Image (mathematics); Image processing; 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":[0.000598068,0.0001710438,0.0001831094,0.000453055,0.0001689663,0.000216908,0.0002029642,0.00006832129,0.000001870696],"category_scores_gemma":[0.0003205673,0.0001689737,0.00003636823,0.0008547679,0.00005558597,0.0003221383,0.00005645045,0.0001132528,0.00001180154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009739295,"about_ca_system_score_gemma":0.0001176078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002707427,"about_ca_topic_score_gemma":0.000001987111,"domain_scores_codex":[0.9987019,0.0001708114,0.0002743206,0.000473253,0.0001900195,0.0001896917],"domain_scores_gemma":[0.9980382,0.001192425,0.0001510565,0.000200395,0.0003805461,0.0000373378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002722078,0.0002497571,0.0003223734,0.0004368656,0.00004388409,0.00001264058,0.0004803157,0.09497499,0.04202291,0.4538861,0.008184038,0.399114],"study_design_scores_gemma":[0.0008097617,0.0002419041,0.004066181,0.00008204964,0.00001150454,0.000002445028,0.00002205202,0.8875139,0.005176007,0.1016251,0.0002933818,0.0001557303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002496376,0.00004259581,0.9942465,0.001750658,0.0004070801,0.0004779577,0.00002028216,0.0002031079,0.0003553753],"genre_scores_gemma":[0.5417857,0.000002276814,0.4568958,0.001033527,0.00004510863,0.00006035735,0.0001362921,0.000008783231,0.00003217705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7925389,"threshold_uncertainty_score":0.6890549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068650885903643,"score_gpt":0.3414913862802578,"score_spread":0.3108048774212214,"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."}}