{"id":"W4249630322","doi":"10.1002/wcm.543","title":"Receiver‐oriented load‐balancing and reliable routing in wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Routing protocol; Geographic routing; Network packet; Hop (telecommunications); Wireless sensor network; Transmitter; Dynamic Source Routing; Distributed computing","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":[0.001207201,0.0004614363,0.0003390381,0.000580397,0.000372678,0.0006247182,0.0009014807,0.0005498546,0.0006070157],"category_scores_gemma":[0.002094321,0.000265753,0.0001869402,0.0004921791,0.0004574306,0.001106756,0.0005844095,0.0003993219,0.000332115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275552,"about_ca_system_score_gemma":0.0003808298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005678201,"about_ca_topic_score_gemma":0.000612566,"domain_scores_codex":[0.9993858,0.0001980828,0.00003029263,0.00005876721,0.0002745046,0.00005253009],"domain_scores_gemma":[0.9990519,0.0003035548,0.0002298694,0.0001551722,0.0002310554,0.00002847886],"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":[0.0004388981,0.0001682983,0.001863348,0.0003973516,0.00009047645,0.0005244528,0.0003245455,0.5380641,0.1095429,0.04271378,0.005053438,0.3008184],"study_design_scores_gemma":[0.00004901815,0.0002562545,0.0004736505,0.00001630683,0.00003238848,0.0002359754,0.00004575356,0.9587355,0.01997767,0.01323832,0.006912285,0.00002678877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1117957,0.002900232,0.8777739,0.0005274585,0.0001942426,0.00009140338,0.00004494621,0.001378897,0.00529306],"genre_scores_gemma":[0.8947565,0.001217523,0.09966662,0.0001041042,0.0002034294,0.00008540357,0.00009859342,0.0001059809,0.003761886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001207201,"threshold_uncertainty_score":0.006384373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049772072420607,"score_gpt":0.248499204459338,"score_spread":0.2380014837351319,"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."}}