{"id":"W2012500378","doi":"10.1145/2666620.2666626","title":"LazyTainter","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Heap (data structure); Overhead (engineering); Private information retrieval; Mobile device; Embedded system; Taint checking; Android (operating system); Tracking (education); Operating system; Computer security; Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007917912,0.00003347275,0.00003332938,0.00003403094,0.00002233094,0.00002777569,0.0002840999,0.00001424946,0.00003123993],"category_scores_gemma":[0.00002691714,0.00002759108,0.00001625573,0.00008213657,0.000008488075,0.000209367,0.00009621162,0.00003249204,0.0001336321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008073895,"about_ca_system_score_gemma":0.000002426405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002758983,"about_ca_topic_score_gemma":0.000001805968,"domain_scores_codex":[0.9996895,0.00001285263,0.00004930123,0.0001163073,0.00005438955,0.00007766212],"domain_scores_gemma":[0.9996405,0.00002324575,0.0000126043,0.0002758449,0.0000232275,0.00002456717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.171051e-7,0.000005146515,0.00002762804,9.202384e-7,7.68541e-7,4.648443e-7,0.00001992744,0.000004614586,0.00101152,0.723681,0.002992225,0.2722555],"study_design_scores_gemma":[0.00009676615,0.0001084848,0.0003041638,0.000003381557,4.29894e-7,0.00001643033,0.000003315819,0.03472179,0.2310409,0.2128655,0.5206835,0.0001553853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001469201,0.000001469686,0.9266495,0.0004467469,0.00008009488,0.00002298042,1.874603e-8,0.001059958,0.07159238],"genre_scores_gemma":[0.5837725,4.679125e-7,0.4132433,0.001036206,0.0000204352,0.000005221753,4.223856e-8,0.000002153645,0.001919663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5836256,"threshold_uncertainty_score":0.1717615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003589721517731681,"score_gpt":0.2146012034221322,"score_spread":0.2110114819044006,"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."}}