{"id":"W2107225007","doi":"10.1109/infcom.2013.6567049","title":"ERCD: An energy-efficient clone detection protocol in WSNs","year":2013,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"clone (Java method); Wireless sensor network; Computer science; Software deployment; Protocol (science); Computer network; Distributed computing; Efficient energy use; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001971038,0.0004654768,0.0008072897,0.0009437973,0.0007697484,0.0007936486,0.001742894,0.001078015,0.0006041765],"category_scores_gemma":[0.007115012,0.0002822388,0.0004642402,0.0007913501,0.001134661,0.002831129,0.003024807,0.001022384,0.0002157588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006445174,"about_ca_system_score_gemma":0.0009107903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007641278,"about_ca_topic_score_gemma":0.0007180914,"domain_scores_codex":[0.9986011,0.0003298447,0.0001503631,0.0002815602,0.0005198741,0.0001172332],"domain_scores_gemma":[0.9964058,0.001426244,0.0005297013,0.0009378776,0.000556279,0.0001441286],"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":[0.001237794,0.0003832806,0.005047778,0.0007551875,0.0002605618,0.002204482,0.001772884,0.1928478,0.2157056,0.08840123,0.007250284,0.4841332],"study_design_scores_gemma":[0.0002461008,0.001003642,0.001200469,0.00007949796,0.0001439672,0.002146258,0.000264248,0.825228,0.1276882,0.01921597,0.02265567,0.0001278839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06794435,0.0009344865,0.9268197,0.0003747699,0.0001263915,0.0003426197,0.0000939784,0.001391968,0.001971622],"genre_scores_gemma":[0.7481654,0.0009876883,0.2455108,0.0003525359,0.00006521166,0.0005128271,0.0003253347,0.0001113518,0.003968844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001971038,"threshold_uncertainty_score":0.01042396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009368728696634843,"score_gpt":0.2390186050135173,"score_spread":0.2296498763168825,"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."}}