{"id":"W2115261982","doi":"10.1109/ares.2008.18","title":"Type and Effect Annotations for Safe Memory Access in C","year":2008,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Alias; Aliasing; Programmer; Memory safety; Static analysis; Type inference; Programming language; Source code; Inference; Theoretical computer science; Data mining; Artificial intelligence; Software","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":[],"consensus_categories":[],"category_scores_codex":[0.0001570222,0.00003844054,0.00005629405,0.0000594966,0.0001093577,0.00005019778,0.0002415009,0.00002047095,0.00000481395],"category_scores_gemma":[0.00008940452,0.0000351991,0.00000951631,0.0003114445,0.00001888261,0.0002814148,0.00006951111,0.00003423587,0.000006001277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008192555,"about_ca_system_score_gemma":0.00002968577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002326851,"about_ca_topic_score_gemma":0.000009000259,"domain_scores_codex":[0.9996151,0.00002407049,0.00008549639,0.0001453138,0.00004801809,0.00008202634],"domain_scores_gemma":[0.9994754,0.000301457,0.00001993053,0.000131764,0.00004829732,0.00002320027],"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":[0.0001039788,0.0003445597,0.1453568,0.0003118922,0.00004628812,0.00003431323,0.01675463,0.003268349,0.001848276,0.5455838,0.04684264,0.2395044],"study_design_scores_gemma":[0.001630657,0.0002732014,0.2607933,0.00003000236,0.000003872649,0.0000637929,0.00004236836,0.71171,0.007417931,0.006470245,0.01120275,0.0003618531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4692059,0.0001179894,0.5242024,0.001184454,0.0003212591,0.0002738976,4.592291e-7,0.0001000331,0.00459365],"genre_scores_gemma":[0.9802971,0.000011831,0.01913197,0.0003236103,0.00002830977,0.00001279799,0.000001208184,0.00000201321,0.0001911334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7084417,"threshold_uncertainty_score":0.1435378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872060294492728,"score_gpt":0.3323133548546027,"score_spread":0.2735927519096755,"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."}}