{"id":"W2119018243","doi":"10.1109/icsmc.2007.4414095","title":"Agent based approach towards energy aware routing in wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Computer network; Wireless sensor network; Distributed computing; Redundancy (engineering); Network topology; Routing protocol; Energy consumption; Routing (electronic design automation); 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":[0.001205895,0.0003703928,0.0003829448,0.0003311671,0.0001552294,0.0001852885,0.001191901,0.0002789598,0.00001492981],"category_scores_gemma":[0.00001529556,0.0003430774,0.0001453408,0.00159118,0.00006800898,0.0002320051,0.000357717,0.0003709692,0.000006149713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323376,"about_ca_system_score_gemma":0.00008739001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006254116,"about_ca_topic_score_gemma":0.0003259624,"domain_scores_codex":[0.9964415,0.000172853,0.0006450782,0.0009323209,0.0006003045,0.001207983],"domain_scores_gemma":[0.9982684,0.000254252,0.0001645255,0.0009392882,0.0001092993,0.0002642535],"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":[0.0000140816,0.000206936,0.001424548,0.000007314091,0.000009922763,0.0001288289,0.00009881575,0.8829411,0.00006949759,0.04619293,0.0001802,0.06872583],"study_design_scores_gemma":[0.0005412597,0.0000330683,0.001455767,0.0000387472,0.000003339203,0.000015201,0.00008074359,0.9950784,0.001785216,0.00001392603,0.0005196082,0.0004347046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01719514,0.00005037282,0.9634256,0.0001726782,0.0005824188,0.0001217684,4.187215e-7,0.0004952562,0.01795632],"genre_scores_gemma":[0.9253374,0.00001077182,0.07264626,0.001172494,0.0002357875,0.00001216447,0.00001520476,0.00003663141,0.0005332328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9081423,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463751491737424,"score_gpt":0.2269671436281177,"score_spread":0.2123296287107434,"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."}}