{"id":"W2510139783","doi":"10.1109/antem.2016.7550111","title":"Information leakage detection from computer display in electromagnetic radiation","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Information leakage; Computer science; Radiation; Leakage (economics); Information theory; Computer vision; Electromagnetic radiation; Artificial intelligence; Set (abstract data type); Probability distribution; Optics; Physics; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004799848,0.0004207976,0.0005120655,0.001603333,0.0003902678,0.0008075905,0.0005248509,0.0006572702,0.0006964905],"category_scores_gemma":[0.002423182,0.0002332715,0.000458437,0.0009154999,0.000617011,0.001587863,0.0008361274,0.0006222145,0.0003481879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717193,"about_ca_system_score_gemma":0.0002349259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290634,"about_ca_topic_score_gemma":0.0001758594,"domain_scores_codex":[0.9994484,0.0001142346,0.0000316222,0.000105273,0.0002444025,0.00005615889],"domain_scores_gemma":[0.9989446,0.0004000076,0.0002387563,0.0001868689,0.0001945039,0.00003538937],"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":[0.001387903,0.0001656342,0.01523048,0.0004271417,0.0001401532,0.001474118,0.0007974291,0.02621744,0.3968567,0.01868325,0.002155481,0.5364642],"study_design_scores_gemma":[0.00003910504,0.0003858873,0.0139609,0.00006367484,0.000149332,0.004681122,0.0003175464,0.4263931,0.5352039,0.01358627,0.00511654,0.0001024942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2514494,0.000810327,0.7429919,0.0002161647,0.00007427466,0.00004543403,0.00007473922,0.001033421,0.003304282],"genre_scores_gemma":[0.9010395,0.0005357091,0.09700902,0.00009819034,0.00003241592,0.00001858985,0.00006773503,0.00006917474,0.001129658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001603333,"threshold_uncertainty_score":0.002697051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002682769554469661,"score_gpt":0.1703385176941545,"score_spread":0.1676557481396848,"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."}}