{"id":"W2564250040","doi":"10.1109/nbis.2016.76","title":"A Balanced Energy Adaptive Routing Protocol with Sector Based Node Selection in Underwater WSNs","year":2016,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Routing protocol; Computer network; Computer science; Network packet; Zone Routing Protocol; Wireless Routing Protocol; Dynamic Source Routing; Enhanced Interior Gateway Routing Protocol; Distributed computing; Sink (geography); Geography","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":[0.0004417704,0.0002768412,0.00036485,0.0003645046,0.0004188689,0.0005327396,0.0007993235,0.0003981506,0.0005073615],"category_scores_gemma":[0.0009188614,0.0001690337,0.0001922062,0.0005074384,0.000371576,0.001136923,0.0008323705,0.0003088482,0.0001840515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002876143,"about_ca_system_score_gemma":0.0005853751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009130716,"about_ca_topic_score_gemma":0.0009279365,"domain_scores_codex":[0.9996397,0.0001129619,0.00002897375,0.0000522721,0.000133305,0.00003271838],"domain_scores_gemma":[0.9997386,0.00007462865,0.00004406745,0.00004139777,0.00007747263,0.00002372961],"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":[0.000661132,0.0001300767,0.003622674,0.000353495,0.000136435,0.0009287554,0.0005290678,0.3899449,0.1676601,0.09515497,0.005329141,0.3355494],"study_design_scores_gemma":[0.0000550917,0.0003156347,0.0007260429,0.00002955423,0.00004281603,0.0005275321,0.0001518927,0.9530749,0.01730311,0.01579016,0.01193965,0.00004359942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06788198,0.001127454,0.9259614,0.0004436762,0.0001486411,0.0001293524,0.0000718556,0.0004781015,0.003757441],"genre_scores_gemma":[0.8032512,0.0008297252,0.1918627,0.000127491,0.00003675356,0.0001870805,0.0001720043,0.0000459747,0.003487049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009130716,"threshold_uncertainty_score":0.002336383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616525614290371,"score_gpt":0.2095167962040129,"score_spread":0.1933515400611092,"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."}}