{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002700998,0.0002498996,0.0002745287,0.0002566709,0.0003747295,0.0001970873,0.0008660331,0.0001429285,0.000004125271],"category_scores_gemma":[0.00002848755,0.0002713514,0.00003829069,0.0002172233,0.00072673,0.0005555549,0.0005481311,0.000500705,0.000009563479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000568728,"about_ca_system_score_gemma":0.00002051202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729919,"about_ca_topic_score_gemma":0.0001038015,"domain_scores_codex":[0.9989458,0.0001303962,0.0003526762,0.0002209683,0.000123367,0.0002268159],"domain_scores_gemma":[0.9966105,0.0007238453,0.00004857825,0.002471354,0.00006795731,0.00007783026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002599954,0.00002691438,0.00001944692,0.0005029808,0.0002082202,0.000004303337,0.00377765,0.002491381,0.00639135,0.1294173,0.0003433541,0.8568146],"study_design_scores_gemma":[0.0002194318,0.00002948411,0.0002694798,0.0007928604,0.00007193498,0.0001015562,0.008250387,0.6179487,0.004692022,0.00708941,0.3597733,0.0007614088],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1305466,0.8143396,0.01743545,0.0220174,0.0002733825,0.0004842463,0.00005295746,0.00658957,0.008260866],"genre_scores_gemma":[0.5710593,0.4114798,0.01730615,0.0000164635,0.000004961368,0.0000367104,0.00001592626,0.0000427668,0.00003788897],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8560531,"threshold_uncertainty_score":0.9999739,"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."}}