{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002806199,0.001322768,0.001009514,0.002773857,0.001410031,0.002130301,0.002036711,0.001615633,0.005069636],"category_scores_gemma":[0.01792431,0.000921363,0.001680417,0.001306161,0.002567213,0.004183344,0.002016365,0.002347613,0.001309313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151518,"about_ca_system_score_gemma":0.003904009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008839338,"about_ca_topic_score_gemma":0.007455966,"domain_scores_codex":[0.995509,0.0005797608,0.0004349369,0.0007384713,0.002251461,0.0004862795],"domain_scores_gemma":[0.986851,0.005946494,0.001854051,0.003158758,0.001996842,0.0001927971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00266639,0.0002698507,0.02789969,0.001740348,0.0002676958,0.001963515,0.001398964,0.1025929,0.05858541,0.387302,0.02560421,0.3897091],"study_design_scores_gemma":[0.0001800243,0.0002674064,0.006046046,0.0005739056,0.0004614329,0.001111808,0.0001548585,0.4875982,0.211863,0.2166663,0.07470154,0.0003755105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02322296,0.0002488216,0.9537066,0.0002649041,0.0001421796,0.0001264121,0.0006359328,0.01753712,0.004114985],"genre_scores_gemma":[0.3994332,0.0004008118,0.5874394,0.0006116235,0.0002331049,0.0002802575,0.0009420098,0.00582977,0.004829912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008839338,"threshold_uncertainty_score":0.0175758,"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."}}