{"id":"W1644405851","doi":"","title":"Metamaterials, Metasurfaces, and Nanotechnology, and their Applications to Antennas, Sensors, and Cognitive Radar","year":2014,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metamaterial; Radar; Nanotechnology; Physics; Materials science; Computer science; Optics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003823575,0.0003075298,0.0005003417,0.0002737085,0.0001576755,0.0000983378,0.000130958,0.0002417178,0.00001422939],"category_scores_gemma":[0.00006700891,0.0002591797,0.00004226422,0.0004276899,0.0002052918,0.000102418,0.0001163211,0.0002210628,0.00001912951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001139656,"about_ca_system_score_gemma":0.000004457876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001682612,"about_ca_topic_score_gemma":0.00001085839,"domain_scores_codex":[0.9988796,0.00005297464,0.0002603686,0.0004139356,0.00008322822,0.0003099606],"domain_scores_gemma":[0.9993184,0.0001566415,0.00004913604,0.0002815019,0.00004486645,0.0001495048],"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":[0.00003308785,0.00003698735,0.0004581994,0.0001465376,0.0005552495,0.000006131004,0.0003074694,0.00002579259,0.8743832,0.003405924,0.0002916644,0.1203498],"study_design_scores_gemma":[0.00574966,0.0008971597,0.007272594,0.001425424,0.003229704,0.0007922725,0.008231645,0.266058,0.3596098,0.02268305,0.3171991,0.006851575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4573697,0.006188075,0.5338613,0.0006752151,0.00005294385,0.0005700837,0.0001081786,0.0009956849,0.0001787784],"genre_scores_gemma":[0.9893019,0.00128188,0.009020636,0.0001239008,0.00003342578,0.00008719743,0.00001538054,0.00005365963,0.00008201312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5319322,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00716557681872718,"score_gpt":0.202132568950953,"score_spread":0.1949669921322258,"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."}}