{"id":"W2801720148","doi":"10.1109/dinwc.2018.8356990","title":"On performance study of TWR UWB ranging in underground mine","year":2018,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Ranging; Computer science; Ultra-wideband; Distance measurement; Engineering; Electronic engineering; Telecommunications; Artificial intelligence","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":[0.00006082799,0.00006401006,0.00009144429,0.0001590439,0.00001957863,0.000005553915,0.00008475962,0.00003656975,0.00006106385],"category_scores_gemma":[0.00001439839,0.00005515654,0.000009437058,0.0002546054,0.00002437168,0.00005680798,0.00001601829,0.00005370598,0.00002526403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002843347,"about_ca_system_score_gemma":0.000002601389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002853202,"about_ca_topic_score_gemma":0.0001872603,"domain_scores_codex":[0.9996054,0.000004503284,0.0001340105,0.00006803124,0.00007676527,0.0001112836],"domain_scores_gemma":[0.9998068,0.0000200438,0.00001021326,0.0001363295,0.00001903211,0.000007612587],"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":[0.0002324642,0.001554684,0.3274539,0.0005595278,0.0002175043,0.00002564435,0.01613803,0.5298815,0.008251839,0.03910629,0.005063948,0.0715146],"study_design_scores_gemma":[0.003913036,0.00192523,0.0707838,0.0001359521,0.00001620866,0.000003252659,0.01048529,0.7743493,0.1365818,0.0008044862,0.0004663854,0.0005352874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807763,0.00001168591,0.004471893,0.000008166811,0.0001110616,0.0001005137,2.052297e-7,0.0002328837,0.01428733],"genre_scores_gemma":[0.9996476,0.000007182326,0.0001269374,0.00001439504,0.00001553299,0.000004856251,5.188546e-7,0.000009518684,0.000173415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566701,"threshold_uncertainty_score":0.2249218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009664073854416016,"score_gpt":0.2166740239716152,"score_spread":0.2070099501171992,"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."}}