{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001960212,0.0008870528,0.0005850476,0.006007364,0.00221864,0.002910033,0.001387471,0.002722647,0.02044524],"category_scores_gemma":[0.007430521,0.0004519775,0.0003516303,0.002294199,0.001669373,0.004774923,0.003705863,0.001504014,0.008938178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006789286,"about_ca_system_score_gemma":0.001379146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000849788,"about_ca_topic_score_gemma":0.00120203,"domain_scores_codex":[0.9979523,0.000333494,0.0001140935,0.0003001537,0.001085655,0.0002142648],"domain_scores_gemma":[0.9963908,0.0008404797,0.000380909,0.001169534,0.001092153,0.0001260784],"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":[0.0006982235,0.0001632066,0.005818507,0.000912479,0.00009766792,0.00326384,0.001875592,0.007653799,0.03747541,0.1989384,0.09350538,0.6495975],"study_design_scores_gemma":[0.0001163977,0.0002473334,0.005556309,0.0008849715,0.0001043277,0.01056785,0.00189516,0.07532499,0.07614856,0.1679101,0.6610479,0.0001961401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.09290569,0.005861422,0.3842069,0.005204583,0.002319588,0.0008020634,0.00412339,0.01449635,0.4900801],"genre_scores_gemma":[0.6599036,0.005332667,0.2036361,0.002194447,0.0009173712,0.0004023618,0.004434341,0.001337388,0.1218417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02044524,"threshold_uncertainty_score":0.06839621,"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."}}