{"id":"W4416148746","doi":"10.1109/miot.2025.3612374","title":"Aerial RIS for Enhancing IoT Connectivity: Opportunities and Challenges","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"LPWAN; Software deployment; Reliability (semiconductor); Resilience (materials science); Adaptability; Internet of Things; Drone; Flexibility (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002693202,0.0004097989,0.0002303591,0.0002262072,0.0002620027,0.0006776768,0.0004538441,0.0003173124,0.0009093909],"category_scores_gemma":[0.0004045626,0.000124917,0.0001991281,0.0002425878,0.0005676316,0.001257733,0.0006828936,0.0006128606,0.0002036441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378531,"about_ca_system_score_gemma":0.0002400395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000719497,"about_ca_topic_score_gemma":0.001337003,"domain_scores_codex":[0.9998112,0.00005403095,0.000005664017,0.00002014713,0.00007487782,0.00003401472],"domain_scores_gemma":[0.9997694,0.00008316407,0.00002939593,0.0000455605,0.00005237584,0.00002015279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001009269,0.00009843636,0.006802588,0.0006760698,0.00009897367,0.000842462,0.0004310206,0.2743862,0.147617,0.1201172,0.006770706,0.4420585],"study_design_scores_gemma":[0.00002437888,0.000894854,0.007065137,0.0001897039,0.0001028992,0.001218299,0.001326375,0.766893,0.05337144,0.06216358,0.1066918,0.00005849946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1756513,0.009805214,0.7603499,0.00311417,0.0003956778,0.00008846613,0.0001054813,0.0009875225,0.04950217],"genre_scores_gemma":[0.9327784,0.00361236,0.06108824,0.0001846124,0.00009656661,0.00002487075,0.00006614867,0.00004174141,0.002107111],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0009093909,"threshold_uncertainty_score":0.003042221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454013667759262,"score_gpt":0.2506222183609276,"score_spread":0.216082081683335,"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."}}