{"id":"W2889340874","doi":"10.3233/978-1-61499-900-3-187","title":"SinCRY: A Preventive Defense Tool for Detecting Vulnerabilities in Java Applications Integrating Cryptographic Modules","year":2018,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Defence Research and Development Canada","funders":"","keywords":"Computer science; Computer security; Java; Cryptography; Programming language","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":[0.001075897,0.001343198,0.0005666213,0.002795163,0.0004982831,0.001366206,0.00158745,0.0009659491,0.008240617],"category_scores_gemma":[0.003605509,0.0008827927,0.0007428193,0.0007886144,0.0007774105,0.002428846,0.001490377,0.001394336,0.004072847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003998473,"about_ca_system_score_gemma":0.001007867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252516,"about_ca_topic_score_gemma":0.001980088,"domain_scores_codex":[0.9993186,0.00008486825,0.00004486288,0.0001302194,0.000366185,0.00005523678],"domain_scores_gemma":[0.9977611,0.001153769,0.0002454715,0.0004263278,0.0003357053,0.00007757434],"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":[0.0002774185,0.0002307297,0.00760087,0.001254471,0.00007733225,0.0009128783,0.00141299,0.002949931,0.06047946,0.01297064,0.1173977,0.7944356],"study_design_scores_gemma":[0.0001678481,0.000488018,0.01693267,0.0007686979,0.0002247682,0.007612519,0.0006115994,0.1315797,0.2244013,0.01671427,0.6001509,0.0003477726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02862839,0.001339859,0.6251662,0.0005249358,0.000186417,0.000323184,0.001734514,0.3238008,0.01829571],"genre_scores_gemma":[0.183339,0.001426264,0.747983,0.0005786032,0.00009615086,0.0002652436,0.005171448,0.0281726,0.03296779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008240617,"threshold_uncertainty_score":0.02756757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02636775555848404,"score_gpt":0.2827377010015575,"score_spread":0.2563699454430735,"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."}}