{"id":"W2335970340","doi":"10.1145/1655737.1655740","title":"Sniper forensics","year":2009,"lang":"en","type":"article","venue":"netWorker","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Computer security; Internet privacy; Computer forensics; Business; Computer science; Digital forensics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005759632,0.00008580398,0.00008267008,0.00001713302,0.0000467242,0.0001354317,0.0003606413,0.0000375427,0.000008452133],"category_scores_gemma":[0.000003843801,0.00006837152,0.00005264006,0.0002279203,0.00002428174,0.0003685604,0.00006575079,0.00006918699,0.0001701963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008880808,"about_ca_system_score_gemma":0.00001524022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001168205,"about_ca_topic_score_gemma":0.000001727932,"domain_scores_codex":[0.9993044,0.000007146284,0.00009889324,0.000184486,0.0001546275,0.0002504264],"domain_scores_gemma":[0.9995137,0.00001317205,0.00002350759,0.0003407517,0.00003545106,0.00007339253],"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":[0.000001352217,0.00001314197,0.0001499492,3.208799e-7,0.000002802996,0.00001050213,0.00004370998,0.00009211704,0.000003574026,0.3428572,0.05855945,0.5982659],"study_design_scores_gemma":[0.0003193606,0.0001752861,0.01835581,0.00002278322,0.000005618596,0.0000444799,0.000005726117,0.03071539,0.000245018,0.4327213,0.5170054,0.000383792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01131574,0.000319564,0.3915603,0.003085926,0.001201991,0.0001013118,8.389404e-7,0.0004534559,0.5919608],"genre_scores_gemma":[0.9749857,0.00000849782,0.01674657,0.005089515,0.0003041328,0.000001312497,0.000002567558,0.000004813379,0.002856859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.96367,"threshold_uncertainty_score":0.2788109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005924750740511804,"score_gpt":0.1960733907050023,"score_spread":0.1901486399644906,"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."}}