{"id":"W4296559021","doi":"10.1109/ap-s/usnc-ursi47032.2022.9887293","title":"Analysis of EM reflections in a undergound mine for the CBRS band of Private mobile networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Reflection coefficient; Reflection (computer programming); Software; Computer science; Simulation software; Set (abstract data type); Mobile telephony; Electronic engineering; Telecommunications; Engineering; Mobile radio; Electrical engineering","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":[0.003045245,0.000150169,0.0002729791,0.0007858454,0.0008493501,0.0002388672,0.001486444,0.00004048137,0.00002719359],"category_scores_gemma":[0.0001235559,0.0001261563,0.0001059557,0.003235468,0.0004703609,0.0003652647,0.0003417846,0.0003039888,2.072781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029111,"about_ca_system_score_gemma":0.0001230572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268487,"about_ca_topic_score_gemma":0.0001719198,"domain_scores_codex":[0.9974593,0.0002346425,0.0005390927,0.000529834,0.0009237911,0.0003133246],"domain_scores_gemma":[0.9978737,0.0007838843,0.0004089018,0.0004983153,0.0003443058,0.00009089369],"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":[0.0003074401,0.0004878679,0.01196647,0.00003532129,0.0003586226,0.000003310126,0.005116045,0.8848241,0.05113591,0.02845528,0.0003639356,0.01694571],"study_design_scores_gemma":[0.0004802748,0.0003105906,0.009874829,0.00004931014,0.00004468887,0.00001246938,0.0007391809,0.9856171,0.001553976,0.0002283129,0.0009463479,0.0001428926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730969,0.001072743,0.1133074,0.008427861,0.001328188,0.001337203,0.00004217744,0.00005394043,0.001333601],"genre_scores_gemma":[0.9976195,0.0006751559,0.0009607142,0.0001464207,0.00004739266,0.0002115145,0.00001700724,0.000009221307,0.0003131386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245226,"threshold_uncertainty_score":0.6532601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894940057094234,"score_gpt":0.3217061795087029,"score_spread":0.2927567789377606,"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."}}