{"id":"W1534489247","doi":"10.1109/wimob.2005.1512911","title":"An intrusion detection system for wireless sensor networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Intrusion detection system; Computer network; Network packet; Sensor node; Node (physics); Mobile wireless sensor network; Key (lock); Wireless; Wireless network; Distributed computing; Real-time computing; Computer security; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998665,0.0001967,0.0002142916,0.0001019004,0.0002854015,0.0002947643,0.0006348995,0.0002076476,0.0000033673],"category_scores_gemma":[0.000004890343,0.0001840606,0.00008938582,0.000375765,0.00003116331,0.0004774524,0.00008371822,0.0001467748,0.00001567329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277278,"about_ca_system_score_gemma":0.00001413756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002689782,"about_ca_topic_score_gemma":0.0002510541,"domain_scores_codex":[0.9983428,0.0000997814,0.0003313991,0.0005371326,0.0002305627,0.0004583482],"domain_scores_gemma":[0.9987267,0.0001637257,0.0001218796,0.0007292276,0.0001589751,0.00009949011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000112833,0.0003420004,0.0006214671,0.0001554633,0.00003818263,0.00004158836,0.0002947881,0.3931018,0.03701085,0.2658778,0.002202128,0.3002011],"study_design_scores_gemma":[0.0003549582,0.0001117471,0.0002858393,0.00002379876,0.000006784582,0.00004783699,0.00006562682,0.9767944,0.02111973,0.0003198815,0.0006217753,0.0002476012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261214,0.00003944226,0.8700629,0.00008073069,0.001487408,0.0003928147,0.000001163279,0.001073446,0.0007406661],"genre_scores_gemma":[0.963181,0.000003160064,0.03542599,0.00009624069,0.001131193,0.00004467948,0.000009919769,0.00002382699,0.00008395833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8370597,"threshold_uncertainty_score":0.7505773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006957958936630261,"score_gpt":0.216176108906416,"score_spread":0.2092181499697858,"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."}}