{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002238411,0.0008291759,0.0007658019,0.001340979,0.001951002,0.007443675,0.001622407,0.001798066,0.05665677],"category_scores_gemma":[0.01201012,0.0006750791,0.0005443858,0.001255429,0.00512879,0.01418477,0.002764206,0.004522041,0.0179728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821011,"about_ca_system_score_gemma":0.002234729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549856,"about_ca_topic_score_gemma":0.001063069,"domain_scores_codex":[0.9969785,0.0005616189,0.000158266,0.001028447,0.0009445338,0.0003286584],"domain_scores_gemma":[0.9927809,0.001818844,0.000749327,0.002347599,0.001356038,0.0009472985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005728696,0.00002564485,0.0006681297,0.000100828,0.00002288132,0.00005986949,0.0004496031,0.0004230404,0.001208158,0.9336036,0.02027302,0.04310787],"study_design_scores_gemma":[0.0000216966,0.00003991064,0.0007673879,0.0001201448,0.00003839062,0.0001997364,0.0004461188,0.000543914,0.001109896,0.6766472,0.3200243,0.0000414377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01285784,0.007031674,0.09498531,0.02791439,0.009791655,0.00007166793,0.0007966795,0.001623215,0.8449275],"genre_scores_gemma":[0.5980834,0.00686191,0.02501068,0.01427865,0.006242688,0.0001765112,0.00124505,0.002293061,0.345808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05665677,"threshold_uncertainty_score":0.1895358,"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."}}