{"id":"W2887410234","doi":"10.1007/s11276-018-1806-0","title":"An improved method for TOA analysis in MMW systems","year":2018,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Extremely high frequency; Energy (signal processing); Multipath propagation; Detector; Time of arrival; Algorithm; Signal-to-noise ratio (imaging); Noise (video); Electronic engineering; Telecommunications; Wireless; Artificial intelligence; Statistics; Mathematics","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":[0.000507075,0.0002166489,0.0004485236,0.0002774848,0.0001161214,0.00009730191,0.000594061,0.0002243343,0.00001916635],"category_scores_gemma":[0.00001469895,0.0002326195,0.0001286982,0.001230429,0.00005303316,0.0001679775,0.00004757351,0.0002499339,0.000006951869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210615,"about_ca_system_score_gemma":0.0000158374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003778076,"about_ca_topic_score_gemma":0.00290249,"domain_scores_codex":[0.9985814,0.0001270936,0.0004386893,0.0002936731,0.0000962906,0.0004628211],"domain_scores_gemma":[0.9983071,0.0002794607,0.00006663646,0.001114786,0.0001153814,0.0001166391],"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":[0.00001355249,0.00003405429,0.0006489584,0.0000260711,0.0002208706,6.669528e-7,0.0002330404,0.9853703,0.001407945,0.0008009895,0.0002113976,0.0110321],"study_design_scores_gemma":[0.0003444188,0.00004848101,0.001450484,0.00002890773,0.0001281634,0.000001205466,0.0001418299,0.9962785,0.0001749074,0.00000510559,0.001129649,0.0002682928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2254949,0.0005739658,0.7725179,0.00003222774,0.0004018506,0.0004158582,0.00001747034,0.0003584225,0.0001873543],"genre_scores_gemma":[0.9795628,0.00007244494,0.01927094,0.00002764466,0.0004446063,0.000369453,0.0001122676,0.00007115718,0.0000686919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7540679,"threshold_uncertainty_score":0.9485946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190721619816812,"score_gpt":0.2798330401114088,"score_spread":0.2679258239132407,"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."}}