{"id":"W2613838618","doi":"10.1109/iat.2007.39","title":"Agent-based Fault Detection Mechanism in Wireless Sensor Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Computer network; Distributed computing; Sensor node; Multicast; Energy consumption; Mobile wireless sensor network; Fault detection and isolation; Real-time computing; Wireless; Wireless network; Engineering; Actuator","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":[0.003147744,0.0004968345,0.0007979145,0.0008565762,0.0006781856,0.001266819,0.002285946,0.001193895,0.0005773294],"category_scores_gemma":[0.007390333,0.0003391104,0.0005686323,0.0006339112,0.001199248,0.002088847,0.0009166442,0.001051527,0.0001401647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007702851,"about_ca_system_score_gemma":0.001015046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661394,"about_ca_topic_score_gemma":0.00117039,"domain_scores_codex":[0.9981984,0.0006031782,0.0001715378,0.0003083711,0.0005964043,0.00012204],"domain_scores_gemma":[0.9963128,0.001982819,0.0005434635,0.0004637685,0.0005928935,0.0001042596],"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":[0.000184928,0.0001466713,0.0028983,0.0001692529,0.0001409227,0.0002960326,0.0003979024,0.7328042,0.007594775,0.153192,0.001350594,0.1008244],"study_design_scores_gemma":[0.00001660712,0.00003268466,0.000100286,0.000006900855,0.00001986869,0.00004028323,0.00001084706,0.9744933,0.00168622,0.02273273,0.000849543,0.0000107724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01784492,0.0002973688,0.9802629,0.0001776483,0.00004209581,0.00005694661,0.00001398021,0.0005414824,0.0007625766],"genre_scores_gemma":[0.8062316,0.0003535507,0.1916518,0.0001101977,0.00006004457,0.0002224141,0.00005014477,0.00002700339,0.00129319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003147744,"threshold_uncertainty_score":0.0166471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231758283963428,"score_gpt":0.230428155472653,"score_spread":0.2181105726330188,"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."}}