{"id":"W1530426809","doi":"","title":"Best Practices for Applying Sonification to Support Teaching and Learning of Network Intrusion Detection","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sonification; Usability; Computer science; Task (project management); Intrusion; Intrusion detection system; Set (abstract data type); Human–computer interaction; Machine learning; Artificial intelligence; Multimedia; Engineering","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":[0.01682768,0.001669527,0.0009466116,0.004356285,0.001838048,0.005067467,0.004109053,0.002558414,0.002950291],"category_scores_gemma":[0.04023159,0.0008679194,0.000794722,0.002056696,0.001627289,0.003230686,0.002604876,0.002218396,0.001819735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655172,"about_ca_system_score_gemma":0.003363563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048748,"about_ca_topic_score_gemma":0.008182014,"domain_scores_codex":[0.9816025,0.009219036,0.001655375,0.00139129,0.005418933,0.0007128557],"domain_scores_gemma":[0.9673363,0.01589742,0.001677038,0.004293486,0.009516331,0.001279444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002292596,0.003963486,0.008296758,0.002178812,0.0001212614,0.0005754468,0.0221099,0.0032629,0.02940507,0.002624399,0.005834331,0.9213985],"study_design_scores_gemma":[0.001630346,0.011825,0.05532059,0.02209429,0.002057694,0.00926034,0.1363566,0.06615721,0.2506016,0.05599105,0.3871394,0.001565917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2219302,0.007061192,0.6952081,0.01486695,0.0005467525,0.005260041,0.0002009377,0.008394615,0.04653113],"genre_scores_gemma":[0.1274863,0.003254471,0.8642381,0.000764036,0.00005981289,0.001158691,0.0001027254,0.0002365248,0.002699281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01682768,"threshold_uncertainty_score":0.08899438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04631488956371996,"score_gpt":0.3138424730950203,"score_spread":0.2675275835313003,"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."}}