{"id":"W2791798548","doi":"10.1007/978-3-319-77935-5_6","title":"Don’t Miss the End: Preventing Unsafe End-of-File Comparisons","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; End-to-end principle; Operating system; Computer security","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":[0.004423298,0.001078771,0.001089057,0.00198086,0.002569342,0.002881711,0.004185586,0.003140373,0.01069159],"category_scores_gemma":[0.05557242,0.000904832,0.0004769892,0.001235182,0.001817917,0.01298417,0.00593281,0.003527218,0.00546369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007998066,"about_ca_system_score_gemma":0.002281247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350526,"about_ca_topic_score_gemma":0.002387329,"domain_scores_codex":[0.9928411,0.001561429,0.0003549515,0.0008909437,0.003728427,0.0006230805],"domain_scores_gemma":[0.9579933,0.02073889,0.003195271,0.01167652,0.005661201,0.0007348082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001413718,0.0005060617,0.01134401,0.0004854853,0.0001560543,0.000937044,0.001808371,0.01539284,0.0135644,0.1014852,0.09815849,0.7547482],"study_design_scores_gemma":[0.0002590394,0.001117507,0.005419462,0.0008765949,0.0003450364,0.006998799,0.002430178,0.3294408,0.1088523,0.4218046,0.1221445,0.0003112377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1201699,0.0048644,0.7941779,0.006098716,0.00211561,0.0005502633,0.0009613081,0.01379372,0.05726812],"genre_scores_gemma":[0.7448302,0.001133028,0.2242973,0.001439136,0.0006735781,0.0001934468,0.001047615,0.001827551,0.02455828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01069159,"threshold_uncertainty_score":0.0357669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008986097600689,"score_gpt":0.2405901330487024,"score_spread":0.2205002720726955,"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."}}