{"id":"W2906851779","doi":"10.1109/iaeac.2018.8577654","title":"Transmission Security Platform for Transportation Information based on BeiDou Navigation Satellite System","year":2018,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Satellite; Computer science; Satellite broadcasting; Transmission (telecommunications); Satellite navigation; Remote sensing; Telecommunications; Global Positioning System; Real-time computing; Engineering; Aerospace engineering; Geology","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":[0.0003703628,0.0001440696,0.000139655,0.0000911716,0.0002234832,0.0001332052,0.0002387662,0.0001285148,0.00001341161],"category_scores_gemma":[0.000001289147,0.0001202617,0.00007922835,0.0002224326,0.00002911814,0.001196436,0.000003767213,0.00007923003,0.0000452489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775523,"about_ca_system_score_gemma":0.00007616877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433354,"about_ca_topic_score_gemma":0.000004564993,"domain_scores_codex":[0.998827,0.00001662032,0.0004063729,0.0002120055,0.0003154486,0.0002225429],"domain_scores_gemma":[0.9991669,0.00009261851,0.0001356882,0.0002696083,0.0002142366,0.0001209634],"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":[0.0002566109,0.00006207201,0.00005827217,0.0002916959,0.00001030896,0.000002771066,0.002421485,0.0002988431,0.0000444113,0.1708509,0.001208283,0.8244944],"study_design_scores_gemma":[0.0007086482,0.0003357685,0.0001597063,0.0001419656,0.00001070833,0.000002020226,0.00007549587,0.974404,0.001234941,0.001516962,0.02124696,0.0001628198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003929768,0.000007594469,0.9851322,0.0002382071,0.0004030653,0.0005011861,0.00002161307,0.0003187948,0.009447601],"genre_scores_gemma":[0.9687141,0.000003356675,0.03017947,0.0004968048,0.0001138899,0.00003246552,0.0004189782,0.000006239573,0.00003474515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9741052,"threshold_uncertainty_score":0.4904131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334669823766557,"score_gpt":0.2315534614245776,"score_spread":0.2182067631869121,"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."}}