{"id":"W2505638865","doi":"10.4018/978-1-4666-8793-6.ch003","title":"Cyber Criminal Profiling","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in digital crime, forensics, and cyber terrorism book series","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Profiling (computer programming); Offender profiling; Cyber crime; Computer science; Computer security; Criminal investigation; Data science; Criminology; World Wide Web; Sociology; Data mining; The Internet","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":[0.0008367304,0.0008854994,0.0004619756,0.003002339,0.0020617,0.004625495,0.000866527,0.001669318,0.04414353],"category_scores_gemma":[0.002288791,0.0003487919,0.000354836,0.002500946,0.001220631,0.00480894,0.002158086,0.001962972,0.02056537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258427,"about_ca_system_score_gemma":0.002098398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616112,"about_ca_topic_score_gemma":0.00450159,"domain_scores_codex":[0.9990957,0.0001772386,0.00004112509,0.0001411325,0.0004559904,0.00008878465],"domain_scores_gemma":[0.999161,0.0002414862,0.00006851399,0.0001395463,0.0003053242,0.00008424272],"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":[0.000009035175,0.00003538784,0.0005301903,0.0002418747,0.000007184328,0.0001552656,0.001129117,0.0003556933,0.000427506,0.2680345,0.3552588,0.3738154],"study_design_scores_gemma":[8.830134e-7,0.000007021541,0.0004934635,0.0002976822,0.000002744742,0.0004194862,0.0003421308,0.0002755918,0.0003330909,0.02109637,0.976724,0.000007538483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002805576,0.01831544,0.01348456,0.004795113,0.002693408,0.0001947752,0.0003429935,0.0003941517,0.956974],"genre_scores_gemma":[0.02210486,0.0252752,0.01025033,0.0023797,0.0007762367,0.0000983595,0.0006303067,0.0002415992,0.9382435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04414353,"threshold_uncertainty_score":0.1476748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825959623067841,"score_gpt":0.2414993017960851,"score_spread":0.2232397055654067,"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."}}