{"id":"W2593735201","doi":"10.1109/eisic.2016.012","title":"Location, Location, Location: Mapping Potential Canadian Targets in Online Hacker Discussion Forums","year":2016,"lang":"en","type":"article","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hacker; Computer security; Software deployment; Computer science; Context (archaeology); Malware; Government (linguistics); Internet privacy; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001630817,0.0004363101,0.0002960686,0.01326952,0.004646329,0.00348042,0.0007310504,0.0006107274,0.004771009],"category_scores_gemma":[0.009209105,0.0002671759,0.0002469466,0.01266352,0.001131337,0.001661649,0.00210509,0.0004670515,0.0007085722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01456022,"about_ca_system_score_gemma":0.01478069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.904979,"about_ca_topic_score_gemma":0.9468996,"domain_scores_codex":[0.99867,0.0002228624,0.00005481682,0.0001969805,0.0004474944,0.0004079637],"domain_scores_gemma":[0.9921126,0.002591989,0.00151659,0.0002998675,0.002689902,0.0007890383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004733088,0.0001082787,0.6678785,0.0007300952,0.00004839689,0.001118011,0.1439653,0.001632181,0.005245368,0.008260409,0.01768027,0.1528599],"study_design_scores_gemma":[0.00001799324,0.00006127924,0.7713914,0.0004315498,0.00006608651,0.0003296133,0.1409303,0.006294477,0.002745662,0.0009433063,0.07664753,0.0001408948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695641,0.0005726708,0.002404338,0.0004576805,0.000033183,0.000217785,0.007053382,0.0002047882,0.01949193],"genre_scores_gemma":[0.9871857,0.0004245465,0.004059825,0.00004774864,0.00001332054,0.0001347563,0.002426146,0.00003572309,0.005672242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09502101,"threshold_uncertainty_score":0.1911612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386127437649815,"score_gpt":0.2336547235120172,"score_spread":0.2197934491355191,"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."}}