{"id":"W4308090766","doi":"10.1109/ccece49351.2022.9918243","title":"Energy Analysis in Single Cluster WSNs with Power Control and In-network Data Compression","year":2022,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wireless sensor network; Computer science; Attenuation; Sink (geography); Dissipation; Topology (electrical circuits); Real-time computing; Physics; Computer network; Electrical engineering; 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":[0.0004208383,0.0004080347,0.0004026207,0.0005057127,0.0002254275,0.0003691035,0.0005748199,0.0003422778,0.0005995978],"category_scores_gemma":[0.001550666,0.000185168,0.0003075131,0.0005011898,0.0005513637,0.0007294832,0.0003947387,0.0003021262,0.0001095397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333994,"about_ca_system_score_gemma":0.0002988053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842287,"about_ca_topic_score_gemma":0.0009057149,"domain_scores_codex":[0.9998271,0.00004613729,0.000006594133,0.00003094237,0.0000656397,0.00002362553],"domain_scores_gemma":[0.9995834,0.0002364945,0.00004742777,0.0000337063,0.00008617529,0.00001277399],"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":[0.00005619666,0.00003058017,0.0007507393,0.00005143128,0.00001721704,0.00009985601,0.00006107621,0.9771763,0.005743906,0.007028224,0.0002129949,0.008771379],"study_design_scores_gemma":[0.000001192494,0.00001045466,0.0002426627,0.000001408475,0.000001500893,0.0000189031,0.00001419943,0.9972687,0.0006859337,0.001677329,0.00007590676,0.000001767265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3419556,0.0005073262,0.6520811,0.0002444617,0.0000317552,0.00006231351,0.0000893691,0.0001630374,0.004865025],"genre_scores_gemma":[0.9827576,0.0002806095,0.01486129,0.00002679706,0.00001178373,0.00004221751,0.00005415431,0.00003891712,0.001926489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001842287,"threshold_uncertainty_score":0.00387013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082863981122936,"score_gpt":0.2095813088743047,"score_spread":0.1987526690630753,"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."}}