{"id":"W1458420092","doi":"10.1007/978-3-642-31909-9_8","title":"Behavioral Mimicry Covert Communication","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Covert channel; Robustness (evolution); Covert; Computer network; Wireless; Channel (broadcasting); Telecommunications","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":[0.0005928037,0.0004507901,0.0003988597,0.0004283607,0.0003500997,0.001057906,0.0006854875,0.001525839,0.008911219],"category_scores_gemma":[0.005371669,0.0002185965,0.0003708627,0.0003409973,0.001341203,0.001729573,0.001014999,0.00139458,0.0009846635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007075776,"about_ca_system_score_gemma":0.0002542846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001503935,"about_ca_topic_score_gemma":0.0001887242,"domain_scores_codex":[0.9992054,0.0002901102,0.00002561565,0.0001173385,0.0002673153,0.00009426324],"domain_scores_gemma":[0.9963546,0.002300089,0.0002545219,0.0008174419,0.0001705251,0.0001027845],"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":[0.0001055081,0.00004505284,0.0006135624,0.0001026131,0.00003590888,0.0002747945,0.0002113814,0.02219207,0.00652927,0.92988,0.005151471,0.03485842],"study_design_scores_gemma":[0.00002129036,0.00007059312,0.000695492,0.00003835074,0.00001948888,0.0006448725,0.00004550746,0.1205455,0.003539628,0.8643528,0.01000356,0.00002288756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1790031,0.001565452,0.4090675,0.004609316,0.0005887463,0.00009657418,0.0002679118,0.0006192698,0.4041821],"genre_scores_gemma":[0.9604643,0.0004609434,0.009207872,0.0003474991,0.0001781783,0.00006725588,0.00006741603,0.00005003684,0.02915653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008911219,"threshold_uncertainty_score":0.02981102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505863076269705,"score_gpt":0.2469535290320734,"score_spread":0.2218948982693764,"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."}}