{"id":"W2811090678","doi":"10.1109/icmcis.2018.8398713","title":"Location constrained jamming: Surgical link removal using local graph partitioning","year":2018,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Graph partition; Heuristics; Computer science; Partition (number theory); Adversary; Network topology; Topology (electrical circuits); Graph; Graph theory; Jamming; Theoretical computer science; Adversarial system; Computer network; Mathematics; Artificial intelligence; Computer security; Combinatorics","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":[0.0003546401,0.0001509706,0.0001645764,0.000109756,0.0002858769,0.0002050089,0.0004526232,0.0001420404,0.00006779578],"category_scores_gemma":[0.00003610384,0.000149479,0.00006393683,0.0007715902,0.0004807672,0.0004045653,0.0001446282,0.0001810745,0.0001002357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006021496,"about_ca_system_score_gemma":0.0001117519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007166343,"about_ca_topic_score_gemma":0.00002104871,"domain_scores_codex":[0.998436,0.0001013703,0.000314415,0.0004279949,0.0003121846,0.0004079953],"domain_scores_gemma":[0.9988447,0.0001523432,0.0000910515,0.0004695093,0.0003018032,0.0001405793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004541168,0.000147796,0.0005796883,0.00004597987,0.00007195795,0.0005343765,0.002325341,0.01779155,0.0008797992,0.7171072,0.001227727,0.2592432],"study_design_scores_gemma":[0.0004152895,0.00009026003,0.00007621712,0.00007656399,0.000007389489,0.0007213425,0.0001020947,0.9865622,0.00382377,0.003569416,0.004305666,0.0002498262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0606763,0.0001035979,0.9321768,0.0008673726,0.000636366,0.000101846,2.495184e-7,0.0003577151,0.00507972],"genre_scores_gemma":[0.9127544,0.000005895212,0.08618543,0.000229392,0.0007366561,0.000002168422,0.000002323752,0.000009922763,0.00007377872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9687706,"threshold_uncertainty_score":0.6095578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670265067621165,"score_gpt":0.270475919442099,"score_spread":0.2437732687658874,"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."}}