{"id":"W2097967330","doi":"10.1109/wcnc.2011.5779173","title":"Balanced slices in wireless sensor networks","year":2011,"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; Disjoint sets; Node (physics); Slicing; Tree (set theory); Constraint (computer-aided design); Distributed computing; Computer network; Sink (geography); Approximation algorithm; Algorithm; Mathematics; Engineering","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":[0.0002340271,0.0001875785,0.0002216084,0.0001385824,0.00005833523,0.00006797852,0.001035783,0.0001277161,0.0000636879],"category_scores_gemma":[0.000007643444,0.0001661644,0.00005673072,0.0007594476,0.00005233079,0.0003287253,0.0002323546,0.0002138337,0.00005596516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003866392,"about_ca_system_score_gemma":0.00002083269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002586508,"about_ca_topic_score_gemma":0.0002619026,"domain_scores_codex":[0.9983321,0.00009217711,0.0002978802,0.0005096363,0.0002109664,0.0005572499],"domain_scores_gemma":[0.9989722,0.00009514111,0.00008339489,0.0006866354,0.00004800033,0.0001146309],"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":[0.00005640174,0.0006775279,0.07869761,0.00001999819,0.0000455788,0.0004249429,0.002625054,0.320603,0.0009346892,0.5261036,0.001546853,0.06826474],"study_design_scores_gemma":[0.0003398948,0.00003835149,0.01884582,0.0000269325,0.000001599772,0.00001168431,0.00004160864,0.9783894,0.001603433,0.0001319734,0.0002825224,0.0002867224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2531008,0.00006862164,0.6946968,0.0001102426,0.0006292638,0.000121745,1.751592e-7,0.000452729,0.05081957],"genre_scores_gemma":[0.934687,0.00003906145,0.06411023,0.0004607781,0.00007337338,0.00001218223,0.000001142224,0.0000145382,0.0006016576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6815862,"threshold_uncertainty_score":0.6775989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887115068015807,"score_gpt":0.207804515448031,"score_spread":0.188933364767873,"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."}}