{"id":"W160396381","doi":"10.1007/978-3-642-35632-2_8","title":"Detecting Unread Memory Using Dynamic Binary Translation","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Binary translation; Static analysis; Memory address; Set (abstract data type); Parallel computing; Binary number; C dynamic memory allocation; Benchmark (surveying); Theoretical computer science; Algorithm; Programming language; Memory management; Operating system; Arithmetic; Semiconductor memory; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008122036,0.0005407818,0.0004884505,0.001176534,0.0004276893,0.0006012032,0.002476207,0.0003917868,0.00002076886],"category_scores_gemma":[0.00005291277,0.0005366844,0.0001433042,0.0007651325,0.00037072,0.0008899655,0.000728359,0.0007981302,0.00003370465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928177,"about_ca_system_score_gemma":0.0004163067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004478153,"about_ca_topic_score_gemma":0.00001889812,"domain_scores_codex":[0.9964921,0.00006320848,0.0006154742,0.00142962,0.0007643059,0.0006352229],"domain_scores_gemma":[0.9976532,0.0003830994,0.0003975421,0.001162324,0.0002599122,0.0001439079],"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":[0.000001586629,0.00001085928,0.000004518094,0.00002337657,0.000005563326,0.00002106468,0.0003624037,0.3821824,0.0005415782,0.0006551045,0.000004229175,0.6161873],"study_design_scores_gemma":[0.0001425604,0.00008898783,0.00001815126,0.000370711,0.000006716167,0.00007094963,1.370654e-7,0.9619049,0.001261012,0.03545992,0.00009325376,0.000582712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000311633,0.000690115,0.9939379,0.0002127601,0.001052211,0.000461081,0.000001382711,0.0006711337,0.002661763],"genre_scores_gemma":[0.1169721,0.00003995001,0.8822064,0.0003843745,0.0001581166,0.000005749239,0.000003925885,0.00004119824,0.0001880912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6156046,"threshold_uncertainty_score":0.9997085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727075868484898,"score_gpt":0.2703516275721066,"score_spread":0.2430808688872576,"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."}}