{"id":"W173970821","doi":"10.1007/978-3-319-05302-8_6","title":"Enforcing Information Flow by Combining Static and Dynamic Analysis","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Information flow; Static analysis; Flow (mathematics); Programming language; Mathematics","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":[0.006087453,0.001768356,0.001716249,0.003161788,0.001317347,0.004069339,0.003581364,0.00149518,0.004139952],"category_scores_gemma":[0.01494544,0.001724907,0.002527091,0.002107756,0.004285312,0.008099244,0.005408842,0.004626801,0.001457133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690371,"about_ca_system_score_gemma":0.004312843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002608457,"about_ca_topic_score_gemma":0.003248232,"domain_scores_codex":[0.990557,0.001897047,0.0005884202,0.001264158,0.004893577,0.000799757],"domain_scores_gemma":[0.9847918,0.006894444,0.0008506936,0.005600569,0.001669838,0.0001926761],"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":[0.0003402044,0.0003424596,0.001786323,0.0005051022,0.0001980668,0.0002633013,0.000411251,0.1738674,0.03240494,0.3551753,0.007528925,0.4271768],"study_design_scores_gemma":[0.00004260932,0.0000663466,0.0002189168,0.00009175114,0.0001181724,0.0001106739,0.00003922944,0.6894721,0.03124793,0.2694194,0.009112135,0.00006077088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004602123,0.0001320295,0.9875823,0.0001704384,0.00006275455,0.0000741369,0.00005215879,0.003735845,0.003588301],"genre_scores_gemma":[0.2843974,0.0004766441,0.7052707,0.0003513932,0.0002129128,0.000222824,0.0003999271,0.002499445,0.006168763],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006087453,"threshold_uncertainty_score":0.0321939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007448577174651696,"score_gpt":0.2287092416375774,"score_spread":0.2212606644629257,"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."}}