{"id":"W2120747844","doi":"10.1109/temc.2009.2014859","title":"Coverage Efficiency of Narrow-Band Wave Propagation in Mining Environments","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Defence Research and Development Canada; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Kolmogorov–Smirnov test; Wireless; Mean squared error; Cumulative distribution function; Computer science; Statistical hypothesis testing; Statistics; Engineering; Mathematics; Telecommunications; Probability density function","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000785028,0.0003224599,0.0003743155,0.0008290242,0.000232267,0.0004285374,0.0003661788,0.0004328103,0.0004050055],"category_scores_gemma":[0.005105405,0.0001696,0.0002308417,0.0005043152,0.0004280991,0.0006078305,0.000385136,0.0002019339,0.0001598999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865405,"about_ca_system_score_gemma":0.0002351233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893013,"about_ca_topic_score_gemma":0.001154004,"domain_scores_codex":[0.9994346,0.0001123568,0.00001950226,0.00008359863,0.0002643704,0.00008544597],"domain_scores_gemma":[0.9959115,0.003087593,0.0003154342,0.0002603343,0.0003802091,0.00004495282],"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":[0.000626565,0.0001721786,0.03445372,0.0001293409,0.0000920382,0.0003065039,0.0003300494,0.7959701,0.1091954,0.002267907,0.0002669556,0.0561891],"study_design_scores_gemma":[0.00001486866,0.0002771424,0.0186972,0.00001176787,0.00003287701,0.0002529598,0.0001614873,0.9171861,0.06196423,0.001100455,0.000269013,0.0000318089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552655,0.0001298055,0.04279197,0.00004135815,0.000004969981,0.00001159187,0.00006419999,0.0001266577,0.001563926],"genre_scores_gemma":[0.9971067,0.00007014364,0.00257114,0.000005293853,0.000001173663,0.000006886652,0.00004768814,0.00001396781,0.000176995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001893013,"threshold_uncertainty_score":0.004151642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348340205897798,"score_gpt":0.20925975583447,"score_spread":0.195776353775492,"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."}}