{"id":"W2081847996","doi":"10.1109/lcn.2012.6423678","title":"An approach for bounding breach path detection reliability in wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wireless sensor network; Computer science; Bounding overwatch; Computer network; Path (computing); Perimeter; Reliability (semiconductor); Node (physics); Polygon (computer graphics); Distributed computing; Engineering; Mathematics","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":[0.001655753,0.0002427058,0.0002747614,0.0001439868,0.0002190337,0.0001832556,0.0006429041,0.0002380023,0.00000251631],"category_scores_gemma":[0.00003371162,0.0002244988,0.00009407893,0.0007043668,0.0000564819,0.001023618,0.0001171589,0.0002913139,0.000002420216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072526,"about_ca_system_score_gemma":0.00002074776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001312184,"about_ca_topic_score_gemma":0.00003621018,"domain_scores_codex":[0.9974685,0.000253155,0.0003961965,0.0006724806,0.0002660021,0.00094371],"domain_scores_gemma":[0.9983969,0.0002392834,0.0001167491,0.0009217009,0.00008907428,0.0002362436],"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":[0.0000383593,0.0007813213,0.02215511,0.00003218909,0.00000849526,0.000001262283,0.0005780527,0.9137194,0.00176831,0.015633,0.00004281771,0.04524167],"study_design_scores_gemma":[0.0003534461,0.00006471655,0.006556375,0.000009758242,0.00000449348,0.00001469979,0.00008658519,0.9906771,0.00175964,0.00004372192,0.0001307166,0.0002988058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3177516,0.00003296085,0.6803637,0.0000225504,0.0005627763,0.0003013883,4.903761e-7,0.0002790674,0.0006854636],"genre_scores_gemma":[0.8370483,0.000005685923,0.162291,0.00009448724,0.0003784192,0.00008370588,0.00001183308,0.00002482855,0.0000617287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5192967,"threshold_uncertainty_score":0.9154797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358121558375195,"score_gpt":0.2421858701111454,"score_spread":0.2286046545273934,"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."}}