{"id":"W2063461959","doi":"10.1016/j.cose.2005.09.007","title":"Timing is everything","year":2005,"lang":"en","type":"article","venue":"Computers & Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vulnerability (computing); Computer science; Strengths and weaknesses; Software; Computer security; Work (physics); Internet privacy; Data science; Psychology; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003152681,0.0001726617,0.0001675895,0.0001115846,0.0002460668,0.0003423191,0.001074072,0.00007780763,0.00006575014],"category_scores_gemma":[0.00001123417,0.0001775998,0.0001111788,0.0002991547,0.00003473236,0.001823855,0.0004930494,0.0002579901,0.0005758294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008467672,"about_ca_system_score_gemma":0.00005386064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002040231,"about_ca_topic_score_gemma":0.000007750208,"domain_scores_codex":[0.9986169,0.00004758776,0.0003092041,0.0003200083,0.0003395259,0.0003668255],"domain_scores_gemma":[0.9989961,0.00005392436,0.0001088399,0.0005971061,0.00009165175,0.0001523098],"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":[0.000008403735,0.0002343387,0.000416705,0.00006653549,0.00005675811,0.00002493831,0.1026516,0.0005482467,0.0000453116,0.3473923,0.1970064,0.3515484],"study_design_scores_gemma":[0.000421877,0.0000269923,0.0007930419,0.00003057892,0.000004083466,0.00004963492,0.00004809002,0.6242001,0.001221023,0.005013135,0.3678273,0.0003642123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06136027,0.0002990587,0.8974271,0.01298652,0.001644426,0.0002412965,0.000004487755,0.0009910595,0.02504578],"genre_scores_gemma":[0.9309604,0.0000125724,0.05638924,0.0122921,0.0002507787,0.000003793222,0.000003622746,0.000006937915,0.00008060464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8696001,"threshold_uncertainty_score":0.7401313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141379884019363,"score_gpt":0.2400340127260853,"score_spread":0.225896024324149,"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."}}