{"id":"W4405440011","doi":"10.1109/mcomstd.0001.2400032","title":"An Overview of Intelligent Meta-Surfaces for 6G and Beyond: Opportunities, Trends, and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Standards Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs; National Science Council; European Commission","keywords":"Data science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009148032,0.0008990455,0.0004265759,0.002798869,0.0007456263,0.003284171,0.0009887867,0.00224709,0.007195958],"category_scores_gemma":[0.001152823,0.0005849163,0.0005543208,0.00330946,0.0009203767,0.005869363,0.00135547,0.00249574,0.003952179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009415608,"about_ca_system_score_gemma":0.0008638041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115174,"about_ca_topic_score_gemma":0.001661868,"domain_scores_codex":[0.9994405,0.0001146611,0.00006457809,0.00007179926,0.0002480749,0.00006035987],"domain_scores_gemma":[0.9994557,0.0002614747,0.00004484666,0.00004028852,0.0001469709,0.00005071461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004704567,0.00008365804,0.0007207652,0.004120712,0.00003062608,0.0003658058,0.0008342834,0.004132737,0.007552795,0.3244758,0.06051083,0.597125],"study_design_scores_gemma":[0.000001669697,0.00006824172,0.0002105976,0.0007403493,0.00001118338,0.0006209368,0.0002013253,0.001694878,0.0008278671,0.01752519,0.9780762,0.00002149626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004606316,0.7229738,0.1193615,0.01117352,0.004296787,0.0001870051,0.0002206013,0.0006023634,0.136578],"genre_scores_gemma":[0.03266466,0.8364592,0.07957122,0.003567119,0.003078453,0.0001894165,0.0004450396,0.0002149394,0.04380986],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007195958,"threshold_uncertainty_score":0.02407283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2666031345763994,"score_gpt":0.3829355544322033,"score_spread":0.1163324198558039,"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."}}