{"id":"W3199063134","doi":"10.4018/978-1-6684-3698-1.ch029","title":"Lawful Trojan Horse","year":2021,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Trojan horse; Hacker; Suspect; Computer security; Internet privacy; Trojan; Identity theft; The Internet; Encryption; Political science; Law; Business; Computer science","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":[0.0006322652,0.001043072,0.000391827,0.002240432,0.001423854,0.003990455,0.001189322,0.002707227,0.07998737],"category_scores_gemma":[0.00241739,0.00057721,0.0006868077,0.001210231,0.002406044,0.006194595,0.002267428,0.003304924,0.04431271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930544,"about_ca_system_score_gemma":0.0007568088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004907484,"about_ca_topic_score_gemma":0.0009488034,"domain_scores_codex":[0.9992392,0.0001280281,0.0000374119,0.000123306,0.0003647331,0.0001073254],"domain_scores_gemma":[0.9989033,0.0004276399,0.00009656877,0.0003235588,0.0001894929,0.00005947319],"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":[0.00003609031,0.0001009374,0.000207554,0.0008263444,0.00001228952,0.0005108127,0.001359251,0.0006037474,0.004601209,0.3640791,0.3374632,0.2901995],"study_design_scores_gemma":[0.000004029043,0.00002929379,0.00008373037,0.0002767904,0.000005687424,0.0007007286,0.00009285953,0.0001919684,0.001779245,0.01910644,0.9777207,0.000008523435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003797969,0.0219496,0.02308147,0.004856578,0.004243975,0.0001748019,0.0003013455,0.002145226,0.939449],"genre_scores_gemma":[0.05419562,0.02525594,0.01120086,0.004548791,0.001447376,0.0001611387,0.0005516618,0.00115888,0.9014797],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07998737,"threshold_uncertainty_score":0.2675844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464501730996543,"score_gpt":0.2153760385507287,"score_spread":0.2007310212407633,"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."}}