{"id":"W2800152001","doi":"10.1029/2018rs006561","title":"Robust Broadband Maritime Communications: Theoretical and Experimental Validation","year":2018,"lang":"en","type":"article","venue":"Radio Science","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Ultra Electronics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure; Université du Québec à Rimouski","keywords":"Atmospheric duct; Broadband; Computer science; Transmission (telecommunications); Range (aeronautics); Radio propagation; Environmental science; Telecommunications; Remote sensing; Meteorology; Atmosphere (unit); Physics; Geology; Aerospace engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003273051,0.00006948051,0.0000711375,0.00007182689,0.0003276699,0.0001006429,0.0002768727,0.00001917319,0.00006099508],"category_scores_gemma":[0.00005782862,0.00006604609,0.000009480943,0.0002812636,0.002861973,0.0003161851,0.00009748885,0.00005496383,0.00004147238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006906445,"about_ca_system_score_gemma":0.00001517643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001642911,"about_ca_topic_score_gemma":7.272291e-7,"domain_scores_codex":[0.9993978,0.00001830074,0.0001069684,0.0001479206,0.0001751956,0.0001537818],"domain_scores_gemma":[0.9994955,0.0000470148,0.00001273418,0.0003261548,0.00005795166,0.00006060992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003574657,0.00020177,0.01417701,0.00007466759,0.00009213595,0.000005339495,0.01807293,0.003275007,0.6031812,0.3223778,0.01114805,0.02735834],"study_design_scores_gemma":[0.0004750094,0.0001115653,0.01037923,0.0000363902,0.00001291694,0.00008003159,0.0005741599,0.424156,0.5577445,0.0025975,0.003459512,0.000373224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349812,0.002370683,0.01399132,0.000598565,0.0003404162,0.0002307431,0.000004197276,0.0003010372,0.04718189],"genre_scores_gemma":[0.9894568,0.00008939084,0.01030739,0.00004197989,0.00005627172,0.00001229529,0.000001106421,0.000007482936,0.00002725148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208809,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367492922165211,"score_gpt":0.2678558998589771,"score_spread":0.244180970637325,"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."}}