{"id":"W2485569971","doi":"10.4018/978-1-60566-012-7.ch009","title":"A Profile of the Demographics, Psychological Predispositions, and Social/Behavioral Patterns of Computer Hacker Insiders and Outsiders","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hacker; Demographics; Mythology; Socialization; Psychology; Internet privacy; Social psychology; Sociology; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008142367,0.000276431,0.000421299,0.0000516133,0.0001551654,0.00004610412,0.0003547335,0.000222573,0.000003903198],"category_scores_gemma":[0.000001455566,0.0002043821,0.0001850107,0.00002303617,0.0003976041,0.0000608832,0.0004663032,0.0001914179,7.337079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002224015,"about_ca_system_score_gemma":0.00002582844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005391,"about_ca_topic_score_gemma":0.0001095605,"domain_scores_codex":[0.9986604,0.00003075037,0.0003968691,0.0004054893,0.0003080671,0.0001984603],"domain_scores_gemma":[0.9992488,0.00001914593,0.0002481982,0.0003419061,0.00009407362,0.00004787523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001345412,0.00003787046,0.004734709,0.00005730766,0.00008877277,0.000006421936,0.0004784743,4.1161e-7,0.000006869264,0.9771326,0.001222171,0.0162209],"study_design_scores_gemma":[0.005050498,0.003193178,0.4975785,0.001821121,0.001103182,0.0002720943,0.0003107452,0.0003954471,0.0002442996,0.4772935,0.009955647,0.002781843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1967053,0.001564474,0.01013518,0.001883929,0.001147411,0.003209192,0.0007977667,0.0003249178,0.7842318],"genre_scores_gemma":[0.9965129,0.00002233862,0.00129711,0.0006684921,0.00005337599,0.000007855558,0.000003344291,0.000009754027,0.001424779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7998077,"threshold_uncertainty_score":0.8334458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826501876711125,"score_gpt":0.2762129647014533,"score_spread":0.2479479459343421,"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."}}