{"id":"W3088034552","doi":"10.1109/tii.2020.3024631","title":"Nonlinear MIMO for Industrial Internet of Things in Cyber–Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Brandon University","funders":"University of Technology Sydney","keywords":"MIMO; Multi-user MIMO; Telecommunications link; Computer science; 3G MIMO; Wireless; Electronic engineering; Channel (broadcasting); Computer network; Telecommunications; Engineering","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":[0.0001516967,0.0002216774,0.000453438,0.0001898459,0.00003033251,0.00004048396,0.0001925848,0.0003494582,0.000007525226],"category_scores_gemma":[0.00004416679,0.0002311516,0.0001138685,0.0004283445,0.00003463169,0.0006249598,0.000001767736,0.0006150926,0.00001650707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385127,"about_ca_system_score_gemma":0.00005741697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004645213,"about_ca_topic_score_gemma":0.000002963197,"domain_scores_codex":[0.9984466,0.00002647538,0.0009918236,0.0001012622,0.0001914245,0.000242455],"domain_scores_gemma":[0.9992816,0.0001960392,0.0001767781,0.0001635048,0.00006893795,0.0001131061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001376186,0.00005376802,0.00000466862,0.0001782353,0.00005787469,4.183182e-7,0.004104408,0.9901957,0.0001941013,0.00004332417,0.0005916705,0.004438214],"study_design_scores_gemma":[0.00266157,0.000275861,9.00593e-8,0.0001906599,0.00003665512,0.000001940903,0.0009951566,0.9710881,0.02250816,0.00000527337,0.002025686,0.0002108901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03354786,0.000008069525,0.9627738,0.00004126649,0.001731169,0.001148656,0.0001516828,0.0001952536,0.0004022737],"genre_scores_gemma":[0.995516,0.000009131544,0.003758926,0.00004088987,0.000445457,0.0001125596,0.00002758356,0.00004825745,0.00004121875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9619681,"threshold_uncertainty_score":0.9426087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873478648377317,"score_gpt":0.2485645089859589,"score_spread":0.1998297225021858,"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."}}