{"id":"W3185008638","doi":"10.1109/tgcn.2021.3100592","title":"Optimal Design of LEMoNet for Environmental Monitoring of Data Centers","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Environmental monitoring; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006307461,0.001145857,0.00082563,0.0006120685,0.0004931088,0.001260492,0.0009545098,0.001015781,0.002865777],"category_scores_gemma":[0.001707398,0.0006133412,0.0006303056,0.0003598097,0.0005405,0.0007712421,0.0007871287,0.0006723166,0.0004556137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151453,"about_ca_system_score_gemma":0.0011275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003508585,"about_ca_topic_score_gemma":0.00492829,"domain_scores_codex":[0.9995233,0.0001398699,0.00001381347,0.0001221931,0.0001200287,0.00008089476],"domain_scores_gemma":[0.9994723,0.0002167663,0.00009672547,0.00003047648,0.0001391284,0.00004458132],"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":[0.00008422058,0.00005779515,0.0005706145,0.00006078817,0.00001368648,0.00006613847,0.00002605347,0.9806763,0.004605242,0.002107315,0.000589984,0.01114179],"study_design_scores_gemma":[0.0000100891,0.00008022322,0.000169556,0.000006291903,0.000009173446,0.00001539359,0.0000228202,0.9973655,0.001157847,0.0007061508,0.0004517857,0.000005295409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09095766,0.000461054,0.8869174,0.0005509692,0.00005768782,0.0002160099,0.0001859955,0.0006097951,0.02004358],"genre_scores_gemma":[0.9195579,0.0001677463,0.07666669,0.0001059909,0.00000873836,0.0002065764,0.0001039784,0.00005299686,0.003129307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003508585,"threshold_uncertainty_score":0.01098871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09536788177997606,"score_gpt":0.2855678744718848,"score_spread":0.1901999926919087,"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."}}