{"id":"W4405974378","doi":"10.1109/pimrc59610.2024.10817266","title":"Next-Generation Satellite IoT Networks: A HAPS-Enabled Solution to Enhance Optical Data Transfer","year":2024,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada; C-Com Satellite Systems (Canada); Carleton University","funders":"National Research Council Canada","keywords":"Computer science; Satellite; Internet of Things; Transfer (computing); Computer network; Telecommunications; Computer security; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001853966,0.0002858083,0.0001284953,0.0003303215,0.000399445,0.0005384855,0.0005446969,0.0002970015,0.001706955],"category_scores_gemma":[0.0001675383,0.00007056615,0.00012027,0.0003771668,0.0002523736,0.0007813232,0.0006619718,0.0003772644,0.000351249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004298488,"about_ca_system_score_gemma":0.000424581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794681,"about_ca_topic_score_gemma":0.003428654,"domain_scores_codex":[0.99993,0.00001042578,0.000002299923,0.00001155299,0.00002411187,0.00002166096],"domain_scores_gemma":[0.9999192,0.00001088828,0.000009775978,0.00001221656,0.00003399264,0.00001391767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004018616,0.0002289129,0.004442469,0.0005644602,0.00008703789,0.0007540527,0.0007205298,0.03113894,0.1693951,0.1084544,0.02718382,0.6566283],"study_design_scores_gemma":[0.00005494709,0.001057938,0.004300234,0.0002132374,0.0001516322,0.001783031,0.0008776481,0.4689067,0.1121176,0.03771217,0.372754,0.00007084913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2483429,0.01537884,0.6316323,0.003452879,0.001504468,0.000332084,0.0003275007,0.00236079,0.09666832],"genre_scores_gemma":[0.8919752,0.004206667,0.08932801,0.0005358515,0.0002405229,0.00006943556,0.0002566517,0.00004029367,0.01334728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001794681,"threshold_uncertainty_score":0.005710363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07392484122121622,"score_gpt":0.2998860604186154,"score_spread":0.2259612191973992,"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."}}