{"id":"W2073500583","doi":"10.1109/icc.2010.5502287","title":"Energy Aware Trajectory Computation of Mobile Data Collectors in Hierarchical Sensor Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Node (physics); Computer network; Wireless sensor network; Transmission (telecommunications); Trajectory; Data transmission; Upload; Real-time computing; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003673949,0.0001882672,0.0003050565,0.0002545354,0.00006901294,0.00006137935,0.001549077,0.0001999269,0.00002547894],"category_scores_gemma":[0.00002150507,0.00017693,0.00005131754,0.001082921,0.0001332673,0.0002739306,0.0005632789,0.0004250882,0.00000231724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274834,"about_ca_system_score_gemma":0.0001199341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003916766,"about_ca_topic_score_gemma":0.001835118,"domain_scores_codex":[0.9979464,0.0001661587,0.0004849089,0.0006581962,0.0003466077,0.0003977439],"domain_scores_gemma":[0.9980564,0.0004315886,0.0001329276,0.001165895,0.00008825587,0.0001249355],"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":[0.00001098257,0.0001994419,0.001273041,0.000006754151,0.00001101656,0.00001801265,0.0001082918,0.963424,0.001231239,0.003992144,0.0008285189,0.02889653],"study_design_scores_gemma":[0.0003595398,0.00006283516,0.00123815,0.00001780617,0.000002873237,0.00001159482,0.0000191317,0.9964695,0.0008152807,0.00005447917,0.0007534981,0.0001953089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1902285,0.00005964357,0.8075367,0.00007116308,0.0008341037,0.000116552,0.000004168553,0.000152705,0.0009964273],"genre_scores_gemma":[0.9539257,0.00001750846,0.04558206,0.000113067,0.0001247786,0.00001168491,0.00005087984,0.00001780202,0.0001564607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7636973,"threshold_uncertainty_score":0.7214996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146862678741655,"score_gpt":0.2496017859057897,"score_spread":0.2349155180316242,"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."}}