{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195813,0.0006416696,0.0003550732,0.0006987936,0.0004770688,0.001583153,0.0005797626,0.001277126,0.006629691],"category_scores_gemma":[0.001755806,0.0002299735,0.000319203,0.0007125176,0.001052327,0.002705808,0.001391578,0.002499489,0.002506343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009156608,"about_ca_system_score_gemma":0.001067738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011404,"about_ca_topic_score_gemma":0.0009849441,"domain_scores_codex":[0.9995068,0.0001048215,0.00002082891,0.0000942008,0.0001929933,0.00008027655],"domain_scores_gemma":[0.9992316,0.0002493942,0.00005012161,0.00006433656,0.0003094744,0.00009508182],"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":[0.0002129894,0.0001018689,0.001572059,0.000721873,0.00003372631,0.0003547808,0.0006038689,0.009598674,0.01656365,0.5939532,0.04473897,0.3315443],"study_design_scores_gemma":[0.00004817548,0.000559407,0.001776814,0.0006231573,0.0000499858,0.001039547,0.00051485,0.03397848,0.006221888,0.2089318,0.7461835,0.00007238391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04397969,0.163805,0.4651175,0.07556572,0.006331985,0.0002171221,0.0006809317,0.001553627,0.2427485],"genre_scores_gemma":[0.5099989,0.1589576,0.2474427,0.0203216,0.007026623,0.0003274407,0.0007627268,0.0002058787,0.05495659],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006629691,"threshold_uncertainty_score":0.02217859,"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."}}