{"id":"W4393336876","doi":"10.1038/s44172-024-00206-3","title":"Curving THz wireless data links around obstacles","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Laboratory; Air Force Office of Scientific Research; Fonds de recherche du Québec – Nature et technologies; Cisco Systems; U.S. Department of Defense; National Science Foundation","keywords":"Wireless; Terahertz radiation; Computer science; Telecommunications; Electrical engineering; Optoelectronics; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545353,0.0001700836,0.0001389104,0.000193964,0.0001067406,0.0002253999,0.001321794,0.0001132673,0.00002016744],"category_scores_gemma":[0.00004772783,0.000189974,0.00004268847,0.0003250806,0.00002475278,0.0004417608,0.0005365009,0.0006424772,0.00009117473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007703334,"about_ca_system_score_gemma":0.00002152371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008492128,"about_ca_topic_score_gemma":0.00001136234,"domain_scores_codex":[0.9991459,0.00001728191,0.0002893524,0.0002090774,0.0001142219,0.0002241401],"domain_scores_gemma":[0.9972382,0.000200042,0.00001214731,0.002439788,0.00003562501,0.00007425885],"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":[0.000001550652,0.0000482526,0.0000738048,0.001120867,0.0004010729,0.00001399285,0.001899137,0.6216313,0.1463147,0.01171068,0.002862633,0.213922],"study_design_scores_gemma":[0.00004393643,0.000002453136,0.00002130793,0.000220094,0.00002292813,0.00001025465,0.00006372682,0.9553296,0.001740218,0.00007650021,0.04226089,0.0002080698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02432109,0.02498181,0.944587,0.0002895444,0.0006498951,0.0001553155,0.00005259072,0.002290126,0.002672613],"genre_scores_gemma":[0.9712613,0.002877578,0.0252849,0.00002046459,0.0001211825,0.00003260447,0.0002632898,0.00008239952,0.00005628232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9469402,"threshold_uncertainty_score":0.7746913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08461515027682881,"score_gpt":0.2860190765414893,"score_spread":0.2014039262646605,"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."}}