{"id":"W3000161123","doi":"10.1109/sensors43011.2019.8956922","title":"Virtual See-Through Sensor using UWB","year":2019,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Permittivity; Transceiver; Ranging; Ultra-wideband; Computer science; Radio signal; SIGNAL (programming language); Acoustics; Radio propagation; Opacity; Robot; Wireless sensor network; Electronic engineering; Radio frequency; Physics; Electrical engineering; Wireless; Telecommunications; Engineering; Artificial intelligence; Optics; Dielectric; Computer network","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":[0.0002232811,0.0003597246,0.0004194805,0.0002696154,0.0001437001,0.0005642465,0.000559931,0.0006771288,0.001651539],"category_scores_gemma":[0.0004802993,0.0002104771,0.0002209242,0.0001334284,0.0003157287,0.0007689678,0.0009452614,0.0003619353,0.0004042228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220645,"about_ca_system_score_gemma":0.000144297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049861,"about_ca_topic_score_gemma":0.0001231404,"domain_scores_codex":[0.9996881,0.00006713559,0.00001157922,0.00006304779,0.0001438475,0.0000263058],"domain_scores_gemma":[0.9997676,0.00007576596,0.00004768702,0.00003664505,0.00004403789,0.00002821162],"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":[0.0003037648,0.00006836758,0.001105737,0.0002066029,0.00002965079,0.0005321894,0.0002751766,0.004257331,0.923199,0.002030222,0.001143842,0.06684817],"study_design_scores_gemma":[0.00009763293,0.001878525,0.009210438,0.0001070197,0.0001344868,0.005570881,0.0004274712,0.1239886,0.8306057,0.00273269,0.02510459,0.0001419811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.453227,0.00130926,0.5286964,0.0004484243,0.0004326938,0.0001199671,0.0002155681,0.002757325,0.01279342],"genre_scores_gemma":[0.9123716,0.0003944842,0.08169432,0.0002692489,0.00004597801,0.00006118663,0.00009356998,0.00004308151,0.005026514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001651539,"threshold_uncertainty_score":0.005524874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750314396684855,"score_gpt":0.2315065063574215,"score_spread":0.214003362390573,"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."}}