{"id":"W4382982764","doi":"10.3390/s23136062","title":"Technology Trends for Massive MIMO towards 6G","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Wireless; Scalability; Computer science; Cornerstone; Telecommunications; Computer architecture; Adaptability; Engineering; Channel (broadcasting)","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":[0.00003874263,0.000111357,0.000140161,0.0005335747,0.00005666619,0.000007455571,0.0003142731,0.0001618373,0.00001427242],"category_scores_gemma":[0.0001098197,0.0001158059,0.00004676266,0.001010425,0.00008395733,0.00003751583,0.00008298929,0.0001486076,0.000103503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004678316,"about_ca_system_score_gemma":0.000004767119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001097103,"about_ca_topic_score_gemma":0.000004658745,"domain_scores_codex":[0.9994174,0.000004702967,0.0001338626,0.0001273833,0.00005853492,0.0002580874],"domain_scores_gemma":[0.9993525,0.00005823867,0.00002296073,0.0005124331,0.00003461897,0.0000192621],"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":[0.000005098615,0.000007931352,0.00007451414,0.00004247198,0.00005299629,0.000007523134,0.0001508432,0.2222455,0.0101747,0.01415059,0.007946333,0.7451414],"study_design_scores_gemma":[0.0007751234,0.0000973799,0.001047232,0.00004261576,0.00001648251,0.000008685124,0.003101317,0.2990523,0.3040757,0.02921134,0.3619026,0.0006692258],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061579,0.001017419,0.02469538,0.01417943,0.0008331614,0.0005096326,0.0001364489,0.03750764,0.01496304],"genre_scores_gemma":[0.986792,0.0003803642,0.01101576,0.00001087037,0.00001993341,0.0001419313,0.00002613373,0.00004720319,0.001565861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7444723,"threshold_uncertainty_score":0.4722427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131872966689234,"score_gpt":0.2745035885830964,"score_spread":0.2531848589162041,"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."}}