{"id":"W7027165319","doi":"","title":"Cognitive vector quantization for malware detection","year":2023,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cluster analysis; Malware; Unsupervised learning; Artificial neural network; Learning vector quantization; Vector quantization; Pattern recognition (psychology); Support vector machine; Quantization (signal processing)","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":[0.0007277747,0.0003606541,0.0003291373,0.0009592076,0.0003612317,0.0007421619,0.0003639775,0.0003311782,0.002011877],"category_scores_gemma":[0.002782229,0.0001320449,0.0003264656,0.001088396,0.0005388452,0.0009011152,0.0004437372,0.0007340568,0.000418269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086133,"about_ca_system_score_gemma":0.0006790591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004065795,"about_ca_topic_score_gemma":0.003647998,"domain_scores_codex":[0.9996052,0.00008553109,0.00002281154,0.00006880367,0.0001879275,0.00002980382],"domain_scores_gemma":[0.9993448,0.0002998564,0.00006348756,0.00005379878,0.0002187395,0.00001932562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001466556,0.0001047659,0.00183194,0.000243143,0.0000425865,0.00004122551,0.0002892565,0.0725704,0.01198494,0.053017,0.005702048,0.8540261],"study_design_scores_gemma":[0.00001795956,0.0001334219,0.004094898,0.00009664373,0.00002555064,0.00007953814,0.000194605,0.8955774,0.01267387,0.07284994,0.01421288,0.00004327689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06671732,0.007309619,0.9080289,0.00119913,0.0003888861,0.0001646073,0.0002946708,0.001104622,0.01479222],"genre_scores_gemma":[0.6754109,0.004078733,0.3107401,0.0002091556,0.0002126443,0.0002037033,0.0004621089,0.00006965629,0.008613043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004065795,"threshold_uncertainty_score":0.008084238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991694048340844,"score_gpt":0.2478070427393611,"score_spread":0.2278901022559527,"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."}}