{"id":"W1981802559","doi":"10.5539/cis.v5n2p79","title":"Handset Malwares Threats Feature Extraction Based on Behavior Analysis","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Malware; Handset; Process (computing); Executable; Computer security; Malware analysis; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001778837,0.0008599054,0.0005605988,0.004992473,0.000342763,0.0006567233,0.0003447983,0.0004201018,0.001040282],"category_scores_gemma":[0.001211133,0.0002123582,0.0007236525,0.001088069,0.000291546,0.0008497071,0.0004886963,0.000457662,0.0009273827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645131,"about_ca_system_score_gemma":0.000473247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523057,"about_ca_topic_score_gemma":0.001762976,"domain_scores_codex":[0.9996268,0.0000430274,0.00003140992,0.00007369054,0.0001673566,0.00005768228],"domain_scores_gemma":[0.9993344,0.0002040416,0.000132764,0.00008173787,0.0002087865,0.00003828486],"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":[0.0002745856,0.0003482294,0.02534507,0.0002791162,0.0001121471,0.000945641,0.0003512985,0.009575292,0.3125299,0.002862247,0.002758943,0.6446176],"study_design_scores_gemma":[0.00002415196,0.0003929318,0.05338132,0.00008502586,0.0001310495,0.003277148,0.0003946296,0.6780664,0.2486066,0.006210655,0.00932003,0.000110022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3203894,0.0004963626,0.6641265,0.0002486299,0.0000458847,0.000363508,0.0009404739,0.008922176,0.004467017],"genre_scores_gemma":[0.7656,0.0003396569,0.2290727,0.00006071597,0.00003001362,0.0001748574,0.001183856,0.000196607,0.003341663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004992473,"threshold_uncertainty_score":0.003480077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432149095507888,"score_gpt":0.2994306244113951,"score_spread":0.2851091334563162,"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."}}