{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002267299,0.0003074079,0.0002289579,0.0004194838,0.0009395239,0.0007552728,0.0004116493,0.0003933655,0.003206972],"category_scores_gemma":[0.0004403791,0.0001351507,0.0003338365,0.0002331263,0.0004068819,0.001527177,0.000802654,0.0003998289,0.0003435103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584076,"about_ca_system_score_gemma":0.0009076811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279163,"about_ca_topic_score_gemma":0.001471629,"domain_scores_codex":[0.9997377,0.00005054117,0.0000119175,0.00004550044,0.00008792011,0.00006645],"domain_scores_gemma":[0.9998432,0.00003384689,0.00002400287,0.00003180051,0.00004692323,0.00002014536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007094973,0.0001905859,0.00648243,0.0003719564,0.00007895732,0.00293452,0.001358824,0.1885819,0.1123506,0.5611021,0.009547352,0.1162913],"study_design_scores_gemma":[0.000128023,0.0007719164,0.003085886,0.00007786731,0.0001104072,0.001161992,0.0005026938,0.8620969,0.03998813,0.06271418,0.02927949,0.00008259917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.38536,0.0005078898,0.5698106,0.001126874,0.0001908474,0.0003387909,0.0001814456,0.001345489,0.04113816],"genre_scores_gemma":[0.9774343,0.000228215,0.01624352,0.00004306022,0.00002143381,0.0001037093,0.00009009596,0.00001510369,0.005820459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003206972,"threshold_uncertainty_score":0.01072836,"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."}}