{"id":"W2765541515","doi":"10.13052/jcsm2245-1439.612","title":"Packet Momentum for Identificationof Anonymity Networks","year":2017,"lang":"en","type":"article","venue":"Journal of Cyber Security and Mobility","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Anonymity; Computer science; Momentum (technical analysis); Network packet; Computer network; Physics; Computer security; Economics; Financial economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001203126,0.0006001842,0.0004702306,0.001614734,0.001282461,0.001878615,0.0008255811,0.0009143223,0.002232653],"category_scores_gemma":[0.004643049,0.0002338906,0.0005033886,0.001489591,0.001231277,0.004814532,0.002340206,0.001317895,0.0006872421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009546226,"about_ca_system_score_gemma":0.0009724151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007858116,"about_ca_topic_score_gemma":0.0005816521,"domain_scores_codex":[0.9984348,0.0004245369,0.00008721917,0.0002602701,0.0005933353,0.0001997653],"domain_scores_gemma":[0.9982576,0.0005477707,0.0002949404,0.0004985136,0.0003376858,0.00006347525],"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":[0.0005605769,0.0001498048,0.005263078,0.0001627307,0.00005282055,0.0005069841,0.0004703361,0.06218745,0.02088241,0.59395,0.00470803,0.3111059],"study_design_scores_gemma":[0.00003169508,0.0003016676,0.001987951,0.00006513439,0.0000458491,0.0009744082,0.0003642264,0.6780688,0.02608461,0.2668421,0.02516685,0.0000667537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02308119,0.0003241265,0.9713778,0.0003173942,0.00009478753,0.0001419209,0.0001078497,0.0004772942,0.004077755],"genre_scores_gemma":[0.6976313,0.0008541762,0.2942259,0.000237202,0.0001425316,0.0003270106,0.0004012255,0.00007903591,0.006101667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002232653,"threshold_uncertainty_score":0.007468939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562853291371671,"score_gpt":0.2722875993715493,"score_spread":0.2566590664578327,"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."}}