{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002279204,0.00006739651,0.00008614409,0.00006192936,0.0001995286,0.0000624052,0.001367417,0.00005508254,0.000007113894],"category_scores_gemma":[0.00004725327,0.00005850636,0.00002792546,0.0003101584,0.0001081502,0.0003837286,0.000611665,0.00008782493,0.00005502659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718979,"about_ca_system_score_gemma":0.00003212982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001523152,"about_ca_topic_score_gemma":0.000005423867,"domain_scores_codex":[0.999326,0.00004225281,0.0001546623,0.0001743742,0.000131642,0.000171052],"domain_scores_gemma":[0.9986587,0.00005090738,0.00005679941,0.001114377,0.00008425596,0.00003495886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004916978,0.0000870347,0.01733153,0.00001489695,0.00002247121,0.000003104556,0.0007842878,0.00001490131,0.03268065,0.57046,0.0007528323,0.3778434],"study_design_scores_gemma":[0.0003688439,0.00009358925,0.02871525,0.00003863438,0.000003302333,0.00001557923,0.000500099,0.01773638,0.9124551,0.02469385,0.01488369,0.0004956443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3065159,0.0001198461,0.6840245,0.001335322,0.0003340385,0.00004893177,2.183364e-7,0.001150828,0.006470464],"genre_scores_gemma":[0.7126037,0.00001122726,0.287159,0.00007695489,0.00004978199,0.000001559734,7.514865e-8,0.000002429557,0.00009533645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8797745,"threshold_uncertainty_score":0.2541023,"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."}}