{"id":"W4408703614","doi":"10.1109/emts57498.2023.10925319","title":"Low-Loss 2-Bit Reflective Intelligent Surface for MM-Wave Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Bit (key); Computer science; Materials science; Optoelectronics; Surface wave; Electronic engineering; Computer network; Telecommunications; Engineering","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":[0.0001390407,0.0003260918,0.0001710738,0.0001840387,0.00007781966,0.0004890528,0.0005493462,0.0004133764,0.00116742],"category_scores_gemma":[0.0002960505,0.0001391239,0.0002008115,0.0001919132,0.0002074975,0.0005047534,0.0002481745,0.0003150633,0.0007353899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601133,"about_ca_system_score_gemma":0.0001393686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009182063,"about_ca_topic_score_gemma":0.0001732992,"domain_scores_codex":[0.9998527,0.00001654915,0.000007363775,0.0000207183,0.00008518712,0.0000174705],"domain_scores_gemma":[0.99983,0.00002448992,0.00005336393,0.00005043865,0.00003087072,0.00001081836],"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":[0.00009789665,0.00003100899,0.0005183546,0.000144388,0.00001180239,0.0001220157,0.00004562666,0.003006195,0.9612502,0.006377849,0.0005822994,0.02781235],"study_design_scores_gemma":[0.00003461559,0.0006549691,0.001815961,0.00002352663,0.00003047959,0.00102255,0.00006430758,0.06856149,0.8999058,0.001789735,0.02604626,0.00005032285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588059,0.001938584,0.3104794,0.0004847485,0.0002940432,0.0000957003,0.0002560355,0.001918168,0.02572735],"genre_scores_gemma":[0.8797885,0.0003796373,0.1140919,0.0001125845,0.00002743126,0.00003902366,0.0001801744,0.00007971955,0.005300955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00116742,"threshold_uncertainty_score":0.003905416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076242801576219,"score_gpt":0.2937165842194139,"score_spread":0.2529541562036517,"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."}}