{"id":"W3180026220","doi":"10.1007/s11432-020-3261-5","title":"Reconfigurable intelligent surfaces for smart wireless environments: channel estimation, system design and applications in 6G networks","year":2021,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless; Transmitter; Computer science; Reflector (photography); Channel (broadcasting); Wireless network; Transmission (telecommunications); Electronic engineering; Reflection (computer programming); Systems design; Telecommunications; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180124,0.0001194708,0.0001369939,0.0002861673,0.0005905437,0.0002722181,0.0005728172,0.00005382782,0.00000220727],"category_scores_gemma":[0.0001193005,0.0001110928,0.00001572945,0.001462812,0.0006631064,0.0028704,0.00007314768,0.000100388,0.000006871615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624473,"about_ca_system_score_gemma":0.00007899037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008462012,"about_ca_topic_score_gemma":0.00000562814,"domain_scores_codex":[0.9988635,0.00001938188,0.0003940321,0.000187812,0.000250731,0.0002845241],"domain_scores_gemma":[0.9993198,0.0001576182,0.0001131067,0.0002928713,0.00006406804,0.00005254221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.865336e-7,0.000004994964,0.00009885939,0.00003225674,0.00000123286,3.475471e-8,0.0004168256,0.9643753,0.0002590271,0.007564665,0.00001494687,0.02723119],"study_design_scores_gemma":[0.0000774055,0.00001478455,0.0009825248,0.00004779969,0.000001388547,0.000003967259,0.00414849,0.9701384,0.02269652,0.001211632,0.0005467255,0.0001303827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01918559,0.0003730191,0.9785166,0.000113082,0.0001198624,0.0005524319,0.000004746284,0.0002742303,0.0008604383],"genre_scores_gemma":[0.9729176,0.0005253126,0.02620108,0.00001708769,0.000004112027,0.0003102585,0.00001209839,0.000004286894,0.000008208983],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.953732,"threshold_uncertainty_score":0.4542044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186490949237546,"score_gpt":0.2465145344312829,"score_spread":0.2278654395075283,"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."}}