{"id":"W2155499861","doi":"","title":"LARGE-SCALE MALWARE EXPERIMENTS: WHY, HOW, AND SO WHAT?","year":2010,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Malware; Botnet; Computer science; Computer security; Replicate; Set (abstract data type); Malware analysis; Order (exchange); Scale (ratio); Ransomware; Data science; The Internet; World Wide Web; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006120219,0.0004806022,0.0004086554,0.0005050268,0.0005755122,0.001783948,0.00134581,0.0004299182,0.00003707877],"category_scores_gemma":[0.0001556218,0.0004983883,0.0001474502,0.0006711538,0.0001970398,0.003996891,0.001040685,0.0008897449,0.00001371049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700996,"about_ca_system_score_gemma":0.0001343769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005089323,"about_ca_topic_score_gemma":0.001944576,"domain_scores_codex":[0.9970608,0.0001059578,0.0003971805,0.0009740862,0.0004769404,0.000985034],"domain_scores_gemma":[0.9971423,0.0001000825,0.0002532707,0.001817216,0.0002018891,0.0004852542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001052793,0.0009359076,0.00899441,0.0001145311,0.0001034441,0.0002833356,0.005100726,0.00007989556,0.442175,0.1873665,0.01598298,0.338758],"study_design_scores_gemma":[0.001254053,0.0004932015,0.006271365,0.0001322645,0.0000261046,0.0008910311,0.001316957,0.08996274,0.7115938,0.02840151,0.1578915,0.00176551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04040388,0.00121398,0.9457123,0.007908393,0.00051848,0.0007238811,0.00001584502,0.003338682,0.0001646035],"genre_scores_gemma":[0.4535813,0.000442491,0.5397642,0.004724085,0.000148396,0.0007169964,0.000007663158,0.00007195164,0.0005428337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4131775,"threshold_uncertainty_score":0.9997468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007505899246610969,"score_gpt":0.2373116775970241,"score_spread":0.2298057783504131,"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."}}