{"id":"W2778289287","doi":"","title":"VTG - Vulnerability Test Generator, a Plug-in for Rodin","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Plug-in; Vulnerability (computing); Generator (circuit theory); Computer science; Test (biology); Spark plug; Computer security; Engineering; Physics; Geology; Operating system; Mechanical engineering","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":[0.01243047,0.0004705652,0.000566029,0.0002729497,0.0004219788,0.0006177789,0.003588377,0.0004395705,0.00005401749],"category_scores_gemma":[0.007740118,0.0005189693,0.0002740556,0.0005669497,0.0001875065,0.0004416238,0.00378889,0.001258657,0.00003002823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548659,"about_ca_system_score_gemma":0.0004760909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009843521,"about_ca_topic_score_gemma":0.001197015,"domain_scores_codex":[0.9915633,0.005114784,0.0007705601,0.001345214,0.0005007737,0.0007053692],"domain_scores_gemma":[0.9891696,0.004698273,0.0006396557,0.003790528,0.001446314,0.0002556444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003305234,0.003198285,0.08935793,0.0009186129,0.0001355,0.0000153783,0.02465208,0.01718483,0.003584192,0.6622164,0.002313006,0.1963907],"study_design_scores_gemma":[0.001692246,0.000001103055,0.01921519,0.001395454,0.00005452278,0.00001366187,0.00004840063,0.9064665,0.02213122,0.02673982,0.0207389,0.001502914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02209807,0.0007226513,0.9599633,0.008022223,0.0007952441,0.0008779948,0.00004347516,0.0004007764,0.007076281],"genre_scores_gemma":[0.6212615,0.0000504192,0.3763816,0.0001014583,0.00009291717,0.0002482391,0.0001486752,0.00004678293,0.001668392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8892817,"threshold_uncertainty_score":0.9997262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098789055237157,"score_gpt":0.2624652259792398,"score_spread":0.2414773354268683,"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."}}