{"id":"W2076635530","doi":"10.1155/2012/310271","title":"Ubiquitous Sensor Networks and Its Application","year":2012,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Ubiquitous computing; Context-aware pervasive systems; Wireless sensor network; Intelligent sensor; Ubiquitous robot; Paradigm shift; Telecommunications; Distributed computing; Computer network; Human–computer interaction; Artificial intelligence","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":[0.001032683,0.0006400476,0.0005887962,0.001166466,0.0007741278,0.002513915,0.001021104,0.001717514,0.00670074],"category_scores_gemma":[0.003304903,0.0002137954,0.000434493,0.002566687,0.0009240228,0.002771024,0.002133822,0.001397396,0.003237088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000948287,"about_ca_system_score_gemma":0.001131704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530612,"about_ca_topic_score_gemma":0.0009044093,"domain_scores_codex":[0.9985697,0.0003319324,0.00009323451,0.0002119681,0.0007056397,0.00008751267],"domain_scores_gemma":[0.9991742,0.0002167965,0.00004432226,0.0001107967,0.0003708578,0.0000830198],"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":[0.00006293136,0.00004346023,0.001108533,0.001636705,0.00005265759,0.0005842288,0.0003400944,0.01118998,0.002643761,0.3632704,0.0992035,0.5198638],"study_design_scores_gemma":[0.000007505441,0.00004592531,0.0005445401,0.0004511185,0.0000243668,0.00093496,0.000184965,0.01715028,0.0009299539,0.1342435,0.8454518,0.00003099961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007011803,0.3382196,0.2918553,0.0212287,0.009977354,0.0002989068,0.0006581739,0.001849024,0.3289012],"genre_scores_gemma":[0.3316765,0.417346,0.1222131,0.00739783,0.009567039,0.000469029,0.00191615,0.0003703149,0.1090441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00670074,"threshold_uncertainty_score":0.02241623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009581958625567983,"score_gpt":0.24340485447647,"score_spread":0.233822895850902,"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."}}