{"id":"W2102082174","doi":"10.1109/aps.2011.5997102","title":"Characterization of the MIMO channel for LTE standard in underground mine","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"MIMO; Characterization (materials science); Channel (broadcasting); Computer science; Environmental science; Computer network; Materials science; Nanotechnology","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":[0.0002576763,0.0003908702,0.0002702358,0.0006064267,0.0003127622,0.0004050545,0.0002201871,0.0003725338,0.001013768],"category_scores_gemma":[0.001011786,0.0001284005,0.0002142913,0.000457384,0.0002802823,0.0004115969,0.0001883469,0.0003019244,0.000276942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264993,"about_ca_system_score_gemma":0.0004846994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463789,"about_ca_topic_score_gemma":0.002831481,"domain_scores_codex":[0.9995584,0.0000810785,0.00001528207,0.00004832681,0.000203754,0.00009315592],"domain_scores_gemma":[0.999089,0.0004397943,0.00009539921,0.00007693833,0.0002686605,0.00003021166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0012397,0.0001353598,0.02660517,0.0004245559,0.0001316321,0.001426045,0.0003657978,0.4887144,0.4014228,0.0173793,0.002070441,0.06008478],"study_design_scores_gemma":[0.00002246443,0.0005624148,0.0284754,0.00003027868,0.00005621067,0.001398304,0.0002304943,0.8616756,0.1012133,0.003463686,0.002775575,0.00009637191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480531,0.0007185676,0.2387509,0.0002248511,0.00005782313,0.00008060836,0.001159495,0.0004396358,0.01051504],"genre_scores_gemma":[0.9941885,0.0001685426,0.004358007,0.00002266699,0.00001282731,0.00001862812,0.0003181527,0.00001488112,0.0008977684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002463789,"threshold_uncertainty_score":0.004898965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011966504400219,"score_gpt":0.2110863845632343,"score_spread":0.1909667195192322,"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."}}