{"id":"W2145414295","doi":"10.1109/ccnc.2007.123","title":"Optimizing a Data Routing Protocol's Influence on Communication Connectivity","year":2007,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Zone Routing Protocol; Routing protocol; Computer science; Wireless Routing Protocol; Computer network; Enhanced Interior Gateway Routing Protocol; Dynamic Source Routing; Wireless sensor network; Link-state routing protocol; Distributed computing; Routing (electronic design automation)","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":[0.002130119,0.0006458797,0.0003902916,0.000666947,0.0006594289,0.001626937,0.0007167821,0.0005057395,0.001125876],"category_scores_gemma":[0.01638436,0.0001956111,0.0002427725,0.0008980001,0.0005204399,0.001825962,0.0007439103,0.0006343978,0.0001895959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008381855,"about_ca_system_score_gemma":0.0008287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008474361,"about_ca_topic_score_gemma":0.0007573261,"domain_scores_codex":[0.9982287,0.0008669621,0.0001270171,0.000173386,0.0004380054,0.000165987],"domain_scores_gemma":[0.9876013,0.008588881,0.0008295543,0.001087394,0.001665613,0.0002273128],"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":[0.001975998,0.0008642851,0.02147138,0.0004204201,0.0002536056,0.0006135053,0.0002113503,0.6516736,0.09925396,0.02491521,0.002695804,0.195651],"study_design_scores_gemma":[0.00008638485,0.0009538248,0.003548996,0.00003453402,0.0002973136,0.0006919022,0.0001972585,0.9059759,0.07896654,0.004758897,0.004444248,0.00004414682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993314,0.001722517,0.1748194,0.001287925,0.0003398455,0.0003130614,0.0001418538,0.0006173688,0.02142655],"genre_scores_gemma":[0.9836683,0.0001820637,0.01527367,0.00003644758,0.00002870779,0.00004338101,0.00004677909,0.00006540779,0.0006553165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002130119,"threshold_uncertainty_score":0.01126528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157317184173386,"score_gpt":0.3179342829204534,"score_spread":0.2763611110787196,"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."}}