{"id":"W2344228140","doi":"","title":"Malware and trojans and intrusions...oh my","year":2008,"lang":"en","type":"article","venue":"Annual Information Security Symposium","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Malware; Computer security; Computer science; Astrobiology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001361043,0.0001298467,0.0001399745,0.0001043232,0.000469657,0.0001119185,0.0001811344,0.00005650258,0.00001489882],"category_scores_gemma":[0.00001928631,0.0001165067,0.00002751471,0.000164995,0.0001048578,0.003841134,0.0004119799,0.0001037977,0.0000494094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001503493,"about_ca_system_score_gemma":0.00002368553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001571954,"about_ca_topic_score_gemma":0.00001780725,"domain_scores_codex":[0.9991521,0.00002184313,0.000280296,0.000137074,0.0002105247,0.0001982228],"domain_scores_gemma":[0.9994568,0.00004252461,0.00007126899,0.0002044777,0.0001294129,0.00009551233],"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":[0.00004105783,0.00009336085,0.005809091,0.0001838166,0.00009329397,0.00001539071,0.402398,0.00003047942,0.0001257316,0.5088824,0.06252207,0.01980529],"study_design_scores_gemma":[0.001670128,0.0003964889,0.03844528,0.00005121411,0.00002355057,0.0003695767,0.00524765,0.008474552,0.00120522,0.00231086,0.9410594,0.0007461383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352894,0.0007190051,0.03103593,0.01696902,0.0007337541,0.0009077283,0.000138435,0.0007045682,0.1135021],"genre_scores_gemma":[0.9960485,0.000858827,0.0006257626,0.002161536,0.00004068407,0.0000140972,0.00001920358,0.0000029393,0.000228513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8785373,"threshold_uncertainty_score":0.4751005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006974512902713829,"score_gpt":0.2081522322530784,"score_spread":0.2011777193503645,"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."}}