{"id":"W2786877580","doi":"10.1007/s10776-018-0388-1","title":"Energy-Efficient Deployment of Relay Nodes in Wireless Sensor Networks Using Evolutionary Techniques","year":2018,"lang":"en","type":"article","venue":"International Journal of Wireless Information Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Software deployment; Relay; Wireless sensor network; Heuristics; Differential evolution; Evolutionary algorithm; Key distribution in wireless sensor networks","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":[0.001026561,0.0003283573,0.0004987127,0.00110464,0.0001255583,0.0001901563,0.001857955,0.0003004345,0.00001631343],"category_scores_gemma":[0.00004447347,0.000312642,0.00023718,0.0009653883,0.0002641474,0.001713633,0.0004446191,0.0005148033,0.000002739381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005734905,"about_ca_system_score_gemma":0.0002094333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000877468,"about_ca_topic_score_gemma":0.00001529607,"domain_scores_codex":[0.9955662,0.0002121829,0.002124839,0.0002490086,0.001354699,0.0004931111],"domain_scores_gemma":[0.9947707,0.000263715,0.002107754,0.0004296805,0.00227116,0.0001570035],"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":[0.0001480558,0.0001748841,0.00147886,0.000007001016,0.00009354733,0.00002987854,0.0003348544,0.9330093,0.0001909788,0.01327682,0.0003509654,0.0509049],"study_design_scores_gemma":[0.0007267569,0.0001392709,0.0008739628,0.0005864623,0.00001411245,0.0002899238,0.00009030206,0.9933479,0.002628361,0.00005964044,0.0009533922,0.0002899163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.173679,0.0001827138,0.822789,0.0001965179,0.002482918,0.0001110061,0.000003611362,0.00007227292,0.0004829626],"genre_scores_gemma":[0.9624782,0.0003208623,0.03579823,0.0003908571,0.0009550857,0.000006759939,0.00001428632,0.00002292502,0.00001282977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7887992,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009742355587108606,"score_gpt":0.2469112033605254,"score_spread":0.2371688477734168,"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."}}