{"id":"W2910075363","doi":"10.1109/apusncursinrsm.2018.8608674","title":"UWB Radar Sensor Development using Drone Arms for Sensing Applicaions","year":2018,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Drone; Computer science; Radar; Antenna (radio); Ultra-wideband; Real-time computing; Electronic engineering; Engineering; Telecommunications","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":[0.0000666612,0.0001175866,0.0001179716,0.0000865598,0.0001562448,0.000025313,0.00006831502,0.0000917707,0.00002784821],"category_scores_gemma":[0.00001888031,0.0001090432,0.00003663012,0.0001539932,0.00005463188,0.00004780984,0.00002593525,0.00005046228,0.00004665852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008053822,"about_ca_system_score_gemma":0.00001781668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005345665,"about_ca_topic_score_gemma":0.0000157793,"domain_scores_codex":[0.9993613,0.000002896823,0.0001766607,0.0001309169,0.0000756258,0.0002526488],"domain_scores_gemma":[0.9997151,0.00002409118,0.00001555818,0.0001485733,0.00006447695,0.00003219997],"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":[0.00004955818,0.00009394052,0.0005424828,0.0004943309,0.0005615397,0.0000164739,0.005170762,0.02040446,0.5760069,0.01515847,0.01942013,0.3620809],"study_design_scores_gemma":[0.0002860269,0.00001665236,0.00003970463,0.00001952603,0.00001418658,0.00001739536,0.0006213513,0.1986948,0.7387698,0.0004365613,0.06080437,0.0002796542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09547026,0.00002305167,0.9009966,0.00004298882,0.000202799,0.0002145997,0.00000258282,0.001124954,0.00192219],"genre_scores_gemma":[0.5924483,0.000002887042,0.4071977,0.00005705396,0.0001055889,0.000005054471,0.000006119479,0.00002795756,0.0001493784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.496978,"threshold_uncertainty_score":0.4446652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347826973279667,"score_gpt":0.243787775773234,"score_spread":0.2203095060404373,"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."}}