{"id":"W2065681991","doi":"10.1007/s10878-006-5981-z","title":"Data relaying with constraints in hierarchical sensor networks","year":2006,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Computer science; Wireless sensor network; Computer network; Hop (telecommunications); Theory of computation; Base station; Set (abstract data type); Data flow diagram; Distributed computing; Algorithm","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":[0.0007493122,0.0001476625,0.0002888464,0.0002357437,0.00007594717,0.0001759926,0.001015199,0.0001298922,0.000005642882],"category_scores_gemma":[0.00008280569,0.0001245736,0.0000376862,0.0007404455,0.00009899231,0.0008463271,0.0001750751,0.000464626,6.184206e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008960531,"about_ca_system_score_gemma":0.0001544969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008683166,"about_ca_topic_score_gemma":0.000002871258,"domain_scores_codex":[0.9980907,0.0002074275,0.0006541531,0.0002592505,0.0005115234,0.0002769125],"domain_scores_gemma":[0.9984221,0.0002177325,0.0005202133,0.0004944652,0.0002619382,0.00008348333],"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":[0.00006349032,0.000144905,0.0009280622,0.000002290419,0.00001044619,0.0001301721,0.00002321,0.9671248,0.000009870268,0.0304549,0.000197507,0.0009103019],"study_design_scores_gemma":[0.001975574,0.0001541401,0.0003254782,0.0001009883,0.0000109382,0.0001663545,0.000009260913,0.9962739,0.00001902879,0.0005981247,0.0002169237,0.0001493153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007230243,0.00009321468,0.9891635,0.0004513652,0.002119994,0.00008972693,0.000001093609,0.00003340872,0.0008174375],"genre_scores_gemma":[0.6731597,0.00002451273,0.3262038,0.00003782437,0.0005349482,5.980764e-7,0.00001398381,0.00001417779,0.00001043007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6659295,"threshold_uncertainty_score":0.5079965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100449649571821,"score_gpt":0.2251283460206882,"score_spread":0.2141238495249699,"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."}}