{"id":"W4408749917","doi":"10.14722/ndss.2025.230267","title":"Duumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector","year":2025,"lang":"en","type":"article","venue":"","topic":"Respiratory viral infections research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"BitTorrent tracker; Breakage; Detector; Computer science; Artificial intelligence; Computer vision; World Wide Web; Telecommunications; Eye tracking","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":[0.003587245,0.001528101,0.00145765,0.003948511,0.0008918823,0.002670413,0.002377287,0.001614466,0.002084034],"category_scores_gemma":[0.01622794,0.0009196904,0.0009041076,0.001719322,0.0006670236,0.003356467,0.003256272,0.002144612,0.002966853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009832802,"about_ca_system_score_gemma":0.001345701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082325,"about_ca_topic_score_gemma":0.00495716,"domain_scores_codex":[0.9944199,0.0007582853,0.0004812732,0.00168654,0.00219012,0.0004638812],"domain_scores_gemma":[0.9870907,0.004578019,0.002248496,0.00350413,0.001876271,0.0007024587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001592218,0.000769566,0.18775,0.001024154,0.0003497165,0.001440767,0.002366332,0.008448701,0.05521933,0.006982248,0.07038016,0.6636768],"study_design_scores_gemma":[0.0001942886,0.0008309063,0.05596593,0.0002240359,0.0002465093,0.002995753,0.000836144,0.718497,0.1302983,0.01069214,0.07887071,0.0003483261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2333185,0.002128703,0.4435095,0.0007626596,0.0005352079,0.0008732843,0.005776762,0.302631,0.01046437],"genre_scores_gemma":[0.6421248,0.0003401786,0.3350813,0.0006870379,0.0001073583,0.000501736,0.008191494,0.004070909,0.008895067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004082325,"threshold_uncertainty_score":0.01897138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293394474302047,"score_gpt":0.3306627254152695,"score_spread":0.307728780672249,"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."}}