{"id":"W2534296880","doi":"10.1109/icwcuca.2012.6402323","title":"Underground mines propagation channel characterization at UHF frequencies","year":2012,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Ultra high frequency; Ray tracing (physics); Computer science; Channel (broadcasting); Angle of arrival; Reflection (computer programming); Mean squared error; Standard deviation; Root mean square; Reflection coefficient; Delay spread; Electronic engineering; Algorithm; Acoustics; Antenna (radio); Optics; Statistics; Engineering; Telecommunications; Mathematics; Electrical engineering; Fading; Physics","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":[0.0001176806,0.000120484,0.0001050909,0.0000794252,0.00007483546,0.00003177928,0.00004857789,0.00006105798,0.0001707892],"category_scores_gemma":[0.00001736842,0.0001064859,0.00003125187,0.00009747766,0.00001189367,0.0004881321,0.00001897921,0.00003943712,0.0001358509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009863069,"about_ca_system_score_gemma":0.000004217765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004975851,"about_ca_topic_score_gemma":0.00001520492,"domain_scores_codex":[0.9993602,0.00001579112,0.0001893796,0.00008984574,0.0001211375,0.0002236231],"domain_scores_gemma":[0.9997205,0.00001335602,0.00002991619,0.000115925,0.00004647608,0.0000738794],"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":[0.000002406141,0.00001627489,0.0002729907,0.0004395603,0.0000195741,1.92638e-7,0.0006392571,0.0008349018,0.996797,0.0003328613,0.000158855,0.0004861491],"study_design_scores_gemma":[0.0002501913,0.00002083131,0.001913964,0.0001148258,0.0000358738,0.00001665207,0.0001431111,0.2071607,0.7887085,0.0001916603,0.0009993515,0.0004443889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4580607,0.0001759145,0.5369071,0.00006241338,0.0004212258,0.0001924653,0.000003453451,0.0003336095,0.003843116],"genre_scores_gemma":[0.9964741,0.000124984,0.0006525656,0.0001216792,0.0002071578,0.00003864197,0.0001382433,0.00002816736,0.002214392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5384135,"threshold_uncertainty_score":0.4342368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823705834693905,"score_gpt":0.211358144717752,"score_spread":0.1831210863708129,"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."}}