{"id":"W4402968346","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10686997","title":"Path Loss Analysis for Near-Ground Mining Communication at 2.4 GHz","year":2024,"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":"Path loss; Computer science; Path (computing); Telecommunications; Computer network; Wireless","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":[0.0001697419,0.00007840106,0.0001045829,0.00009298969,0.00009176772,0.0001251411,0.00007916922,0.0000406857,0.0002936362],"category_scores_gemma":[0.000008058595,0.00007312068,0.000107632,0.0002529246,0.00001135671,0.00009606808,0.00003004008,0.00004921576,0.00007502529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000655485,"about_ca_system_score_gemma":0.000006250838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877474,"about_ca_topic_score_gemma":0.00008355485,"domain_scores_codex":[0.9995224,0.000009966237,0.0001647094,0.0001155869,0.00006865805,0.0001186149],"domain_scores_gemma":[0.9996322,0.000074041,0.000009092417,0.0002206381,0.00002761778,0.00003639515],"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":[0.00003109467,0.00004952589,0.001684481,0.001276108,0.003925236,0.000009513705,0.009940682,0.8446997,0.038506,0.002266026,0.01812228,0.07948939],"study_design_scores_gemma":[0.00006666849,0.000007948067,0.00006171918,0.00001808372,0.0001237399,0.000001236987,0.00007230143,0.987068,0.002832318,0.0001322483,0.009515554,0.0001001924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2878039,0.001114458,0.7069304,0.0000794413,0.00007719213,0.00008459731,0.000009988221,0.0002991051,0.003600969],"genre_scores_gemma":[0.9603561,0.0001163958,0.03702667,0.0000577437,0.00002478613,0.00002952255,0.00009883759,0.00002188084,0.002268085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6725522,"threshold_uncertainty_score":0.3215111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083410839391713,"score_gpt":0.2572737571256393,"score_spread":0.2264396487317222,"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."}}