{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120665,0.00009762893,0.00008801258,0.0002187551,0.00002670799,0.0001552496,0.000221864,0.00005928376,0.00001644314],"category_scores_gemma":[0.00005032565,0.00006961024,0.00002898369,0.0003411411,0.00001910491,0.003887487,0.00006329609,0.00005575423,0.000460457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428722,"about_ca_system_score_gemma":0.00001985261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001193782,"about_ca_topic_score_gemma":0.0001547276,"domain_scores_codex":[0.9991526,0.00003448146,0.0002434278,0.0001595789,0.0002117682,0.0001981363],"domain_scores_gemma":[0.9994671,0.0001117258,0.00007436315,0.0002594985,0.00003451595,0.0000528272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006310849,0.00001083243,0.0001804772,0.000001279722,0.000002235505,7.578527e-7,0.0001598977,0.00001205074,0.005722101,0.002065032,0.00008606941,0.991753],"study_design_scores_gemma":[0.004059532,0.001397772,0.3455513,0.00009832936,0.000008956574,0.00003749571,0.0000332887,0.3308657,0.2727939,0.02970436,0.01460013,0.0008493614],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3244804,0.000004472085,0.6729989,0.000275289,0.000646886,0.0001112866,0.00000116502,0.0001631251,0.001318485],"genre_scores_gemma":[0.9938074,0.000005881405,0.005822196,0.0001900421,0.00008467808,0.00001843101,0.000004382501,0.000004004035,0.00006297869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909036,"threshold_uncertainty_score":0.5918396,"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."}}