{"id":"W3109797377","doi":"10.18280/isi.250507","title":"Number of Pixel Change Rate and Unified Average Changing Intensity for Sensitivity Analysis of Encrypted inSAR Interferogram","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Encryption; Sensitivity (control systems); Computer science; Pixel; Cryptosystem; Advanced Encryption Standard; Key (lock); Algorithm; Mode (computer interface); Artificial intelligence; Electronic engineering; Computer security; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002897202,0.0001306543,0.0003594456,0.0002542094,0.00005080121,0.00002428758,0.00005947131,0.00008757342,0.000008546869],"category_scores_gemma":[0.0001072224,0.0001300433,0.00009141272,0.000766928,0.0000734373,0.0004648408,0.00004112964,0.00006590522,0.000001368986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000044229,"about_ca_system_score_gemma":0.000006815226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004622931,"about_ca_topic_score_gemma":0.000006049309,"domain_scores_codex":[0.9992716,0.00002145842,0.0003997684,0.00008435293,0.00007966242,0.0001431828],"domain_scores_gemma":[0.9993353,0.00009618137,0.000160118,0.000143307,0.0002159037,0.0000491553],"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":[0.0001838037,0.0000462201,0.004813394,0.002400099,0.001463327,0.000001038093,0.04936393,0.0004179212,0.0114535,0.008415816,0.00008823657,0.9213527],"study_design_scores_gemma":[0.0003410138,0.00008282519,0.007623689,0.000147937,0.0003806275,0.000008453952,0.001566969,0.9163641,0.06646257,0.0004923489,0.006230788,0.0002987127],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3905298,0.0000196489,0.608501,0.00003143181,0.00002233102,0.0003011322,0.00006661366,0.0001416526,0.0003864413],"genre_scores_gemma":[0.9669327,0.00004401051,0.03273951,0.00009252724,0.00001979376,0.00004450697,0.0001152923,0.00001074685,9.479269e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.921054,"threshold_uncertainty_score":0.5303011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987626651851626,"score_gpt":0.2352791610311686,"score_spread":0.2154028945126524,"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."}}