{"id":"W4210406965","doi":"10.3390/electronics11030391","title":"An Innovative Infrastructure Based on Shape-Adaptive RIS for Smart Industrial IoTs","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"State Key Laboratory of Networking and Switching Technology; Beijing University of Posts and Telecommunications","keywords":"Wireless; Computer science; Transmission (telecommunications); Internet of Things; Hotspot (geology); Real-time computing; Telecommunications; Embedded system","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":[0.0001495357,0.0001671249,0.0001695716,0.0001785869,0.0002327564,0.0000152189,0.0005336109,0.0001148464,0.00008023406],"category_scores_gemma":[0.00009023718,0.0001880109,0.00003363199,0.0007233546,0.00003780816,0.00009526746,0.00007061972,0.001008663,0.000002164405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006361604,"about_ca_system_score_gemma":0.000104748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.214988e-7,"about_ca_topic_score_gemma":0.000006409425,"domain_scores_codex":[0.9991083,0.00004896911,0.0001856039,0.000183925,0.0001457395,0.0003274327],"domain_scores_gemma":[0.999203,0.0001290545,0.00006903615,0.0005193048,0.00005512966,0.00002449506],"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":[0.0001297025,0.00004312084,0.0000801291,0.000004167505,0.00002785444,5.263494e-7,0.0001526451,0.8158768,0.003739286,0.009072748,0.003271524,0.1676015],"study_design_scores_gemma":[0.001030794,0.001241569,0.0001206561,0.000005551166,0.000005568657,0.000001197505,0.0002643132,0.7057032,0.02448194,0.005313843,0.2615068,0.000324592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5483934,0.003708479,0.4334114,0.001053215,0.001150119,0.003628718,0.0005779598,0.005594763,0.002482017],"genre_scores_gemma":[0.9919529,0.00005756644,0.007099065,0.0001363044,0.00004217649,0.0005176031,0.000127333,0.0000497935,0.00001727078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4435595,"threshold_uncertainty_score":0.7666863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832577478297988,"score_gpt":0.2470632141370903,"score_spread":0.2287374393541104,"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."}}