{"id":"W2127371329","doi":"10.1109/aina.2007.144","title":"Uniformity and Efficiency of a Wireless Sensor Network's Coverage","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Process (computing); Mobile wireless sensor network; Computer network; Wireless network; Wireless; Real-time computing; Telecommunications","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":[0.00463871,0.0004960418,0.001379658,0.002419305,0.0005610893,0.001855214,0.001704443,0.0007305588,0.001270407],"category_scores_gemma":[0.02793406,0.0005170518,0.0008167638,0.001717841,0.001730376,0.003760637,0.002268097,0.0006846168,0.000391981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197801,"about_ca_system_score_gemma":0.0005149181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008773329,"about_ca_topic_score_gemma":0.0004553072,"domain_scores_codex":[0.9949225,0.001523569,0.0003725691,0.0009971417,0.001791253,0.0003930306],"domain_scores_gemma":[0.9756774,0.01741336,0.001676108,0.00243943,0.002438998,0.0003546014],"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":[0.0004820489,0.00009244682,0.02021516,0.0005560803,0.0002711766,0.0003676776,0.0007353951,0.6289614,0.03345861,0.1742642,0.002233076,0.1383628],"study_design_scores_gemma":[0.00004298164,0.0003378982,0.01249965,0.0001181837,0.0001332098,0.001170521,0.0003278858,0.8699589,0.0288589,0.07796673,0.00851972,0.00006532776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09983325,0.001656321,0.8866631,0.0004311872,0.00004032191,0.0001059714,0.0003081672,0.0002772488,0.01068442],"genre_scores_gemma":[0.9084057,0.001773523,0.08588754,0.0001181422,0.0001469999,0.0002757765,0.0002780747,0.0002029713,0.002911341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00463871,"threshold_uncertainty_score":0.0245322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007069084689203071,"score_gpt":0.2123287148406274,"score_spread":0.2052596301514243,"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."}}