{"id":"W2013219159","doi":"10.1002/wcm.408","title":"Localized energy efficient routing in mobile ad hoc networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Alberta","funders":"","keywords":"Computer science; Destination-Sequenced Distance Vector routing; Computer network; Link-state routing protocol; Dynamic Source Routing; Static routing; Geographic routing; Network packet; Distributed computing; Wireless Routing Protocol; Energy consumption; Routing protocol; Triangular routing; Policy-based routing; Equal-cost multi-path routing; Routing (electronic design automation); Electrical engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006734605,0.0003327402,0.0004463274,0.0002575443,0.0006948163,0.0003041612,0.002031804,0.0001783507,0.000002372192],"category_scores_gemma":[0.000008766542,0.0003532916,0.0001022256,0.0012042,0.0002572403,0.0001456146,0.002198371,0.0004507964,0.000002971225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013384,"about_ca_system_score_gemma":0.00005243701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000225858,"about_ca_topic_score_gemma":0.0003041148,"domain_scores_codex":[0.9970895,0.0004042389,0.0008145454,0.0006920911,0.0002703152,0.0007293039],"domain_scores_gemma":[0.9964703,0.0007446012,0.0003175093,0.002215774,0.0001309726,0.000120872],"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":[0.000003139931,0.0002308128,0.0005174791,0.000005599008,0.000006419981,0.000005466513,0.0002910731,0.7035332,0.0001035968,0.03409409,0.00002728625,0.2611818],"study_design_scores_gemma":[0.0006239137,0.0000609904,0.000439871,0.0001697439,0.000006036231,0.00002118241,0.0001545311,0.9828845,0.00007977968,0.00007217837,0.01510863,0.0003786256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3310382,0.02688744,0.6401875,0.00009563113,0.0002121545,0.0002964149,0.000001199408,0.0003544097,0.0009270326],"genre_scores_gemma":[0.9697798,0.002907292,0.02685628,0.0001186448,0.00007329373,0.0001345032,0.00003392083,0.00003615339,0.00006007315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6387416,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008655257954904306,"score_gpt":0.233423092319199,"score_spread":0.2247678343642947,"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."}}