{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002375293,0.0001612599,0.0001443036,0.0002541006,0.0002648906,0.0000715687,0.0004771865,0.00006123186,0.0001120659],"category_scores_gemma":[0.00006711736,0.00009151941,0.00003007711,0.0008553911,0.00005389796,0.000760046,0.0001668636,0.00006199177,0.0002081813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586751,"about_ca_system_score_gemma":0.0003617313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03902397,"about_ca_topic_score_gemma":0.2790574,"domain_scores_codex":[0.9984953,0.00003694813,0.000381858,0.0004027312,0.0002506867,0.0004324102],"domain_scores_gemma":[0.998884,0.00002308219,0.00006244333,0.0004780899,0.0003901752,0.0001622225],"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":[0.00002471208,0.0005439883,0.04033902,0.0001893557,0.0001442443,0.00004235777,0.006685415,0.004546211,0.001669811,0.459949,0.1123955,0.3734704],"study_design_scores_gemma":[0.002710217,0.0001320519,0.7144783,0.0008218093,0.00002023655,0.00002275149,0.001565774,0.04252489,0.001596633,0.01051073,0.2242693,0.00134733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001622711,0.0002448984,0.9491124,0.0457062,0.0004247522,0.0002760969,0.000002386132,0.00009944541,0.002511093],"genre_scores_gemma":[0.9882072,0.00003750093,0.003991684,0.00133187,0.000101438,0.00002767537,0.00002204656,0.000009038877,0.006271563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865845,"threshold_uncertainty_score":0.9673753,"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."}}