{"id":"W2762052088","doi":"10.1049/el.2017.3233","title":"Experimental characterisation of near field backscatter from thin resistively loaded FSS absorbers","year":2017,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"East China Institute of Technology; Queen's University; Queen's University Belfast","keywords":"Materials science; Antenna (radio); Optics; Backscatter (email); Microstrip antenna; Microstrip; Imaging phantom; Patch antenna; Near and far field; Electrical impedance; Radar; Tunable metamaterials; Optoelectronics; Acoustics; Wireless; Physics; Metamaterial; Electrical engineering; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201931,0.000340571,0.000275433,0.000170393,0.0001607497,0.0002445651,0.0002893622,0.0004451537,0.001351592],"category_scores_gemma":[0.000423152,0.0002110776,0.0001661693,0.0001725498,0.0003669273,0.0002187012,0.0002691384,0.0002871447,0.0003476503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965196,"about_ca_system_score_gemma":0.00008148474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002855857,"about_ca_topic_score_gemma":0.000376234,"domain_scores_codex":[0.9998461,0.00001832173,0.000007774442,0.00002487688,0.00007044563,0.00003248836],"domain_scores_gemma":[0.999634,0.0001445986,0.00008773377,0.00004393419,0.00006351896,0.00002618566],"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":[0.00005555144,0.000008327723,0.0001195124,0.00001929141,0.000002638537,0.00003816302,0.00003880068,0.0001628474,0.9990177,0.00003738535,0.00001833579,0.00048154],"study_design_scores_gemma":[0.000009149672,0.0002860593,0.001667032,0.000004530315,0.00001006788,0.0000807105,0.00007039119,0.00162618,0.9958781,0.0000228985,0.0003403427,0.000004525755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971424,0.00009605339,0.001923523,0.00002435996,0.000008527297,0.000005631401,0.0000313205,0.00004210605,0.0007260856],"genre_scores_gemma":[0.9958092,0.0001453987,0.00285437,0.00002222196,0.000005931524,0.00001342273,0.00004528889,0.000012283,0.001091857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001351592,"threshold_uncertainty_score":0.004521549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078790230272188,"score_gpt":0.2345713136463884,"score_spread":0.2237834113436665,"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."}}