{"id":"W2120185982","doi":"10.1109/hicss.2001.927199","title":"Internal nodes based broadcasting in wireless networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); University of Ottawa","funders":"","keywords":"Broadcasting (networking); Computer science; Computer network; Node (physics); Overhead (engineering); Wireless network; Reduction (mathematics); Wireless; Distributed computing; Telecommunications; Mathematics; 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":[0.0004284238,0.0005333204,0.0006249573,0.0007284689,0.0005935854,0.0009700084,0.001086218,0.0005374374,0.001306848],"category_scores_gemma":[0.001559583,0.0002795013,0.0002895374,0.001484498,0.0006987759,0.001306625,0.000892912,0.0005814869,0.0006163685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322915,"about_ca_system_score_gemma":0.0004880364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220325,"about_ca_topic_score_gemma":0.00144546,"domain_scores_codex":[0.9992895,0.0001743307,0.00002918372,0.000133159,0.000302097,0.00007166665],"domain_scores_gemma":[0.9992341,0.0003401983,0.0000991977,0.000136326,0.0001586553,0.00003146704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000327025,0.0001105927,0.001564993,0.00111924,0.00008251397,0.0003382008,0.0008181185,0.2785891,0.0878663,0.1212974,0.006548323,0.5013382],"study_design_scores_gemma":[0.00006019033,0.0003044168,0.00105633,0.00009091062,0.0001085195,0.0005758372,0.0002646772,0.8305531,0.05612082,0.07942528,0.03137623,0.00006361018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04519573,0.003073678,0.9349909,0.0002581989,0.0001309753,0.00009668357,0.000109068,0.001640723,0.01450402],"genre_scores_gemma":[0.6910961,0.006280857,0.2901484,0.0002241811,0.0001742775,0.0002137571,0.0005560634,0.0003028938,0.01100348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002220325,"threshold_uncertainty_score":0.005313158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882276748573533,"score_gpt":0.2183248978609699,"score_spread":0.2094426211123963,"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."}}