{"id":"W2753458568","doi":"","title":"Live Lesson: Netsim: Network simulation and hacking for high schoolers.","year":2017,"lang":"en","type":"article","venue":"USENIX Security Symposium","topic":"Information and Cyber Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Hacker; Simulation; Operating system","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":[0.0005778741,0.0009276553,0.0003333388,0.0004401873,0.0003703365,0.0008634749,0.001646096,0.001024008,0.07048499],"category_scores_gemma":[0.003322166,0.0003940807,0.0003433804,0.0002263245,0.0003133045,0.001454761,0.001123457,0.002011635,0.01057672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830799,"about_ca_system_score_gemma":0.0008084367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471134,"about_ca_topic_score_gemma":0.00908946,"domain_scores_codex":[0.9998568,0.00003998284,0.000005250202,0.00002324558,0.00005235635,0.00002231246],"domain_scores_gemma":[0.9989828,0.0004699981,0.0000305946,0.0001231024,0.0001898522,0.0002035858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004233038,0.001273692,0.004157763,0.0004505838,0.000064449,0.0002819832,0.0004593654,0.06596877,0.005217244,0.01282626,0.7168733,0.1920033],"study_design_scores_gemma":[0.0007355576,0.0008206091,0.005402167,0.000346556,0.00009849435,0.0003733209,0.0004017407,0.4331548,0.02297065,0.04567656,0.4899182,0.0001014016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08852123,0.001068774,0.5043945,0.007865474,0.002623577,0.001168824,0.02972106,0.1301981,0.2344385],"genre_scores_gemma":[0.4387513,0.00154865,0.3437951,0.001762819,0.000361222,0.001790368,0.025569,0.0172549,0.1691668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07048499,"threshold_uncertainty_score":0.2357958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849905206665083,"score_gpt":0.272508073113342,"score_spread":0.2540090210466912,"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."}}