{"id":"W2942480517","doi":"10.1049/iet-rsn.2018.5655","title":"Fully digital multi‐frequency compact high‐frequency radar system for sea surface remote sensing","year":2019,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Remote sensing; Radar; Radio spectrum; Geology; Computer science; Telecommunications","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":[0.000431612,0.0003047949,0.0002757974,0.0003630115,0.0001320699,0.000410054,0.0006716487,0.0005946672,0.003583405],"category_scores_gemma":[0.0004732445,0.0001402036,0.0001696452,0.0003003179,0.0001441438,0.0008704272,0.0004307474,0.0003511762,0.0009369195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043732,"about_ca_system_score_gemma":0.0002637242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002669376,"about_ca_topic_score_gemma":0.0004301614,"domain_scores_codex":[0.9996965,0.00005672333,0.00001575036,0.00005731277,0.0001504483,0.00002331204],"domain_scores_gemma":[0.9996706,0.00007871641,0.0000472446,0.00007577494,0.0001051673,0.00002257126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003039887,0.0001185079,0.001919751,0.0003931916,0.00003920275,0.0001110874,0.00009675099,0.004216418,0.4733541,0.00588531,0.005227205,0.5083345],"study_design_scores_gemma":[0.0004391641,0.003995795,0.02053734,0.0001716198,0.0002680934,0.003717705,0.0001809777,0.4305178,0.3831065,0.0059735,0.1509095,0.0001820371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07709453,0.002361835,0.9077409,0.0003943922,0.0002736363,0.000170534,0.0002396407,0.00216381,0.009560662],"genre_scores_gemma":[0.6341612,0.0007639201,0.3565622,0.0004954989,0.00025724,0.0002030366,0.0004435291,0.00004927687,0.007064062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003583405,"threshold_uncertainty_score":0.01198769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134780216816398,"score_gpt":0.2222543951337096,"score_spread":0.2109065929655457,"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."}}