{"id":"W4402978532","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10686416","title":"CNN-Based Path Loss Modeling for Massive MIMO System in Underground Mine Scenario","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; MIMO; Path loss; Path (computing); Real-time computing; Computer network; Telecommunications; Wireless; Channel (broadcasting)","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":[0.0001550638,0.0005422994,0.0001994013,0.0002029078,0.0001491488,0.0002760671,0.0005150612,0.000363461,0.0006151807],"category_scores_gemma":[0.0004230981,0.0001881758,0.0002539222,0.000194954,0.000250047,0.0004784067,0.0003093006,0.0004022633,0.0001530995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005910269,"about_ca_system_score_gemma":0.0003406558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098079,"about_ca_topic_score_gemma":0.00872201,"domain_scores_codex":[0.999928,0.00001228834,0.000003125542,0.00001877308,0.00002042444,0.00001743743],"domain_scores_gemma":[0.9998789,0.00004372022,0.0000242455,0.00001181786,0.00003503243,0.000006340622],"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":[0.00001673693,0.00000676282,0.001193499,0.000009198531,0.000007023574,0.00004133329,0.000009291351,0.9910485,0.001640303,0.0005418347,0.0001600886,0.005325514],"study_design_scores_gemma":[3.427459e-7,0.000003568492,0.0002152165,6.536959e-7,0.000001174059,0.000006777584,0.000001373862,0.9994107,0.0002047761,0.0001206641,0.00003364242,9.77667e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3313648,0.0004979126,0.6580699,0.0003293265,0.00006566942,0.00003987556,0.0004728239,0.0008264343,0.008333372],"genre_scores_gemma":[0.9923952,0.00014044,0.005959358,0.00003065864,0.000008308674,0.00001782004,0.0001096141,0.00001448749,0.001324259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01098079,"threshold_uncertainty_score":0.02183372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417517275407605,"score_gpt":0.217346952710619,"score_spread":0.2031717799565429,"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."}}