{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135485,0.00067211,0.0006103936,0.001696615,0.002038805,0.004727921,0.0005302767,0.004201194,0.02356794],"category_scores_gemma":[0.006418252,0.0003951849,0.0004258817,0.001089631,0.004627963,0.01414322,0.001911848,0.004681707,0.00491148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584329,"about_ca_system_score_gemma":0.0009304743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292331,"about_ca_topic_score_gemma":0.004485037,"domain_scores_codex":[0.9994642,0.0001854333,0.00002045676,0.0000786001,0.0001521819,0.0000990943],"domain_scores_gemma":[0.9972308,0.001055784,0.0005533192,0.0001377271,0.0005550135,0.0004673153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007133777,0.00004938751,0.00629418,0.0004085065,0.00003666694,0.00021229,0.00371065,0.00007741692,0.0002103912,0.09446484,0.7896583,0.104806],"study_design_scores_gemma":[0.00001586752,0.00005958865,0.009072057,0.001441858,0.00003198134,0.001270257,0.009471787,0.0001210075,0.0001157769,0.08196411,0.8963968,0.00003892216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005799829,0.1682163,0.001238926,0.7312127,0.02351268,0.00002265874,0.0002852529,0.00007802268,0.0696335],"genre_scores_gemma":[0.161453,0.3369996,0.002368701,0.2299997,0.08996581,0.0001254437,0.0003765172,0.000163795,0.1785474],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02356794,"threshold_uncertainty_score":0.07884264,"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."}}