{"id":"W4402125695","doi":"10.1109/mwc.004.2400086","title":"Metasurfaces Empowering 6G Communication and Sensing: Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications","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":[0.0003715832,0.0003796346,0.0003344568,0.0002964058,0.0003743186,0.001455964,0.0005087766,0.001408767,0.00194658],"category_scores_gemma":[0.0005877522,0.0002750931,0.000336993,0.0002767979,0.001080131,0.001879815,0.001004044,0.001334721,0.0005649267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540423,"about_ca_system_score_gemma":0.0003106348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596415,"about_ca_topic_score_gemma":0.0004892286,"domain_scores_codex":[0.9997882,0.00004182732,0.000006529684,0.00002040341,0.000114269,0.00002872856],"domain_scores_gemma":[0.9997401,0.0001267237,0.00003162751,0.00004116006,0.00004116791,0.00001933329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006675227,0.00006633026,0.0008065844,0.001352456,0.00004402581,0.000626852,0.0006774581,0.03843083,0.3130303,0.5108478,0.00500412,0.1290465],"study_design_scores_gemma":[0.00003720877,0.0005263592,0.0009380812,0.0005245539,0.00005831629,0.001674968,0.001176472,0.2798445,0.1465039,0.2471613,0.3214328,0.0001215117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1235527,0.05111987,0.6718211,0.01500648,0.001671063,0.0001362785,0.0002011804,0.001014014,0.1354773],"genre_scores_gemma":[0.7760534,0.03057723,0.1772547,0.001065733,0.0004091041,0.0001404537,0.00009473421,0.0001407801,0.01426389],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00194658,"threshold_uncertainty_score":0.006511927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071486966473462,"score_gpt":0.2957398157735931,"score_spread":0.1885911191262469,"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."}}