{"id":"W2495943255","doi":"10.1109/icc.2016.7511417","title":"Packing of cutsets for a breach path detection problem","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Wireless sensor network; Subroutine; Guard (computer science); Reliability (semiconductor); Path (computing); Distributed computing; Computer network","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":[0.003108574,0.001597255,0.001451178,0.002227368,0.0008457067,0.002142759,0.001350762,0.002381197,0.006301823],"category_scores_gemma":[0.01647451,0.001129819,0.001751233,0.002020976,0.001502165,0.002189864,0.001759777,0.003210202,0.0009603209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030614,"about_ca_system_score_gemma":0.0008716202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362,"about_ca_topic_score_gemma":0.001071373,"domain_scores_codex":[0.9982966,0.0006907454,0.0001209874,0.0002837802,0.0004482266,0.0001596679],"domain_scores_gemma":[0.9899827,0.008186942,0.0006550556,0.0003523432,0.0005584732,0.0002645107],"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":[0.0001900442,0.0001290613,0.001187951,0.0004299518,0.00007010633,0.0002581901,0.0003681069,0.8184091,0.002877361,0.0963468,0.004649765,0.07508346],"study_design_scores_gemma":[0.00002649634,0.0001003767,0.0002815065,0.00006887339,0.00001650781,0.0001642835,0.00007662154,0.9094359,0.001109025,0.08613971,0.002563922,0.00001677294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01026161,0.0003029925,0.9864743,0.0001844306,0.00003882878,0.00008807861,0.00009106209,0.0001019619,0.002456653],"genre_scores_gemma":[0.1483029,0.0009296928,0.8449115,0.0001869893,0.0001326251,0.0004517452,0.0007740719,0.000274905,0.004035664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006301823,"threshold_uncertainty_score":0.02108169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009231561862317616,"score_gpt":0.2139896485095777,"score_spread":0.2047580866472601,"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."}}