{"id":"W1969829810","doi":"10.1145/1065907.1066044","title":"Profiling the defenders","year":2005,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Profiling (computer programming); Computer science; Population; Computer security; Software; Data science; Software security assurance; Sociology; Information security","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":[0.002401681,0.0002725818,0.0002785189,0.003923114,0.001210073,0.00216501,0.0004269191,0.0006007828,0.004614406],"category_scores_gemma":[0.0165749,0.0002123663,0.0001597979,0.001503883,0.0007476189,0.001945418,0.001553619,0.0007794352,0.001469286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005883028,"about_ca_system_score_gemma":0.000352536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165399,"about_ca_topic_score_gemma":0.002276604,"domain_scores_codex":[0.9972671,0.0008984095,0.0001991287,0.0004162569,0.0007301433,0.0004889563],"domain_scores_gemma":[0.9911719,0.002603364,0.002966983,0.0007717218,0.001333864,0.001152108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002181815,0.0001336821,0.8531677,0.00009083073,0.00004309884,0.0003370201,0.04405876,0.000289563,0.007141499,0.005192301,0.001918626,0.08740875],"study_design_scores_gemma":[0.00001099269,0.0002787491,0.9155113,0.00009685026,0.00003207705,0.001216869,0.05879116,0.001493277,0.002440935,0.003652397,0.01642554,0.00004997348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938477,0.0001450725,0.001241063,0.0002559821,0.00001232652,0.00003729353,0.00008481562,0.000008340649,0.004367451],"genre_scores_gemma":[0.9958287,0.0001444398,0.001098135,0.00008082466,0.00001243028,0.00004004607,0.00009035683,0.00000449771,0.002700513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614406,"threshold_uncertainty_score":0.01543677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563978997273977,"score_gpt":0.2316451126015402,"score_spread":0.2160053226288004,"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."}}