{"id":"W2950122471","doi":"10.1109/ccece.2019.8861782","title":"A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Blockchain; Malware; Computer science; Computer security; Feature (linguistics); Private information retrieval","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"],"consensus_categories":[],"category_scores_codex":[0.000369626,0.0003590185,0.0004268586,0.0004921032,0.0001192909,0.0001351003,0.001564217,0.0005329067,0.000008858981],"category_scores_gemma":[0.0001569366,0.000370922,0.0001996826,0.0004666985,0.00003816934,0.00004026631,0.000861442,0.0008591552,0.00001252599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951639,"about_ca_system_score_gemma":0.0001983462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074407,"about_ca_topic_score_gemma":0.00007239969,"domain_scores_codex":[0.9977003,0.00005573895,0.0004749203,0.001105646,0.0002434214,0.0004200171],"domain_scores_gemma":[0.9965951,0.0009472255,0.000350129,0.001843276,0.0001870228,0.00007719326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004279605,0.0004073545,0.0008422679,0.001168354,0.00005392333,0.000005788793,0.001154799,0.7129884,0.001057663,0.09241039,0.0001844346,0.1896838],"study_design_scores_gemma":[0.0003721289,0.0002646226,0.00009048188,0.0003035499,0.00001422115,0.000004006811,0.0001289815,0.5876405,0.08332028,0.3185813,0.00822045,0.001059544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005228213,0.0001517728,0.9867573,0.000113672,0.0003291261,0.004933927,0.00001949337,0.002278518,0.0001879312],"genre_scores_gemma":[0.4112227,0.000002453994,0.5795503,0.0002011281,0.00007008355,0.008811455,0.000004869052,0.00003326016,0.0001038089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4072071,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553678733187034,"score_gpt":0.3056650749898925,"score_spread":0.2901282876580222,"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."}}