{"id":"W2905326499","doi":"10.1109/antem.2018.8572993","title":"Air Quality Monitoring Using UWB Radar","year":2018,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Carbon nanotube; Wireless; Coupling (piping); Materials science; Radar engineering details; Remote sensing; Electronic engineering; Range (aeronautics); Computer science; Radar imaging; Engineering; Telecommunications; Nanotechnology; Geology","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":[0.0001799127,0.0002347223,0.0002894364,0.0003526895,0.0001131283,0.0003431426,0.0002822843,0.0005604404,0.0004153293],"category_scores_gemma":[0.000325268,0.0001522421,0.0001784526,0.0001985587,0.0001371365,0.0004283326,0.0003437352,0.0002058637,0.0002452677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381685,"about_ca_system_score_gemma":0.00008163243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823609,"about_ca_topic_score_gemma":0.0003000823,"domain_scores_codex":[0.9997169,0.00005921533,0.000009440314,0.00008296056,0.0001101067,0.00002136626],"domain_scores_gemma":[0.9998281,0.0000547522,0.00005077267,0.00001487898,0.00004167779,0.000009720556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001527809,0.00003669862,0.001996702,0.00009471512,0.00001982501,0.00008191807,0.00002363612,0.0008963528,0.951665,0.0002039482,0.0001693369,0.04465913],"study_design_scores_gemma":[0.00003993908,0.0006662204,0.009868852,0.0000372122,0.0001118593,0.0009105929,0.00006114757,0.03760956,0.9455752,0.0003970297,0.004689662,0.00003278195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042711,0.006124409,0.1800917,0.0003088084,0.0001625942,0.00004604642,0.0001420812,0.000896182,0.007957056],"genre_scores_gemma":[0.9635364,0.001206374,0.03332551,0.00014226,0.00007172121,0.00002193214,0.00006813566,0.00001722449,0.001610499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005604404,"threshold_uncertainty_score":0.001389384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09399950918675137,"score_gpt":0.3499109871857315,"score_spread":0.2559114779989802,"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."}}