{"id":"W2312469290","doi":"10.3724/sp.j.1001.2011.03929","title":"Interval Centroid Based Flow Watermarking Technique for Anonymous Communication Traceback","year":2011,"lang":"en","type":"article","venue":"Journal of Software","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; Federation for the Humanities and Social Sciences","keywords":"Digital watermarking; Computer science; Watermark; Invisibility; Computer security; Demodulation; Spread spectrum; Centroid; Decoding methods; Robustness (evolution); Computer network; Computer vision; Channel (broadcasting); Artificial intelligence; Algorithm; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001204848,0.0005811639,0.0005022719,0.001755162,0.001399871,0.002003739,0.0008786684,0.001311329,0.005974666],"category_scores_gemma":[0.004252551,0.0002035065,0.0004127625,0.001451713,0.001149475,0.005789809,0.001337218,0.001317736,0.000872518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335043,"about_ca_system_score_gemma":0.001211054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530273,"about_ca_topic_score_gemma":0.0008128153,"domain_scores_codex":[0.9987722,0.0002499533,0.00009813614,0.0002306594,0.0005028453,0.0001462415],"domain_scores_gemma":[0.9984933,0.0004741616,0.0002532419,0.0002504898,0.0004556803,0.00007313789],"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":[0.0007832997,0.0001906766,0.002704896,0.00047828,0.00006227304,0.0008362331,0.002127037,0.02749634,0.06280604,0.1355756,0.01147731,0.7554619],"study_design_scores_gemma":[0.0002820197,0.0007804616,0.006942119,0.0003771434,0.0002149402,0.003219403,0.00277248,0.5521555,0.1696993,0.1404366,0.1227317,0.0003883752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1043126,0.003614204,0.8430239,0.002203054,0.0009251616,0.0003377718,0.0002657228,0.002686578,0.04263113],"genre_scores_gemma":[0.8653526,0.001805646,0.1139019,0.0003390807,0.0004167123,0.0001742036,0.0001597117,0.0001202496,0.01772983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005974666,"threshold_uncertainty_score":0.01998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566583830913141,"score_gpt":0.2410553587969023,"score_spread":0.2153895204877709,"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."}}