{"id":"W2532751500","doi":"10.1109/fit.2012.37","title":"TSEP: Threshold-Sensitive Stable Election Protocol for WSNs","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Protocol (science); Wireless sensor network; Simple (philosophy); Software deployment; Routing protocol; Key (lock); Wireless Application Protocol","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":[0.0009156308,0.0003366219,0.0004598101,0.0005517622,0.0005588676,0.0006287103,0.001229968,0.0005289173,0.001364912],"category_scores_gemma":[0.001730713,0.000165286,0.0003594752,0.0006546626,0.000447013,0.001422019,0.001021202,0.0007720349,0.0005084983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594866,"about_ca_system_score_gemma":0.0006827127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003869238,"about_ca_topic_score_gemma":0.0005543063,"domain_scores_codex":[0.9993801,0.0001462484,0.00009640621,0.00006950908,0.0002514083,0.00005629737],"domain_scores_gemma":[0.9993741,0.0001963991,0.00007943591,0.0000995715,0.0001929526,0.00005754354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001301084,0.0004665299,0.005650735,0.001634721,0.0004285425,0.001650008,0.0009885065,0.09137297,0.1824237,0.10191,0.04797679,0.5641964],"study_design_scores_gemma":[0.0004594209,0.002015445,0.003009617,0.0001468868,0.0004039031,0.003739674,0.0004980597,0.5479842,0.1637616,0.05422775,0.2235412,0.0002122922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04856245,0.001834872,0.9346588,0.0008658465,0.0006609837,0.0006995642,0.0005900654,0.00305159,0.009075708],"genre_scores_gemma":[0.7320374,0.002801694,0.2448991,0.0007489616,0.0002867676,0.001399555,0.002283991,0.0002687697,0.01527372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001364912,"threshold_uncertainty_score":0.004842401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777714345868768,"score_gpt":0.2950572565140755,"score_spread":0.2672801130553878,"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."}}