{"id":"W2141677995","doi":"10.1109/plans.1996.509075","title":"Preoperational testing of data link-based air traffic management systems in Magadan, Far East Russia","year":2002,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Air traffic control; Radar; Secondary surveillance radar; Position (finance); Aeronautics; Air traffic control radar beacon system; Automatic dependent surveillance-broadcast; Reliability (semiconductor); Data link; Engineering; Transport engineering; Computer science; Telecommunications; Aerospace engineering; Radar engineering details; Radar imaging; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781082,0.0004634426,0.0003520016,0.0004866115,0.0005168508,0.0004429353,0.0005154676,0.0004041207,0.0007762013],"category_scores_gemma":[0.001195684,0.0001645456,0.0002484316,0.0001921245,0.0003684967,0.0003482093,0.000507266,0.0002517008,0.0002747481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005915161,"about_ca_system_score_gemma":0.0004629355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057981,"about_ca_topic_score_gemma":0.004415765,"domain_scores_codex":[0.999456,0.0001032514,0.00004907084,0.0001106703,0.0001881156,0.00009292226],"domain_scores_gemma":[0.9991933,0.0002511279,0.0001020174,0.00009155751,0.0002433771,0.00011879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007470025,0.002591419,0.1265873,0.0006897469,0.0003278478,0.001508882,0.005395073,0.05600917,0.721837,0.0009402127,0.0008459898,0.07579735],"study_design_scores_gemma":[0.0005628157,0.03027588,0.3943315,0.00007870661,0.0003795377,0.0005331254,0.002939711,0.09367388,0.4720707,0.0003433157,0.004696214,0.0001147426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990101,0.00002703542,0.0005525529,0.000007650034,0.000007300946,0.00001361302,0.0000315726,0.00005406004,0.0002962284],"genre_scores_gemma":[0.9994193,0.00001530929,0.0002253375,0.000005205154,0.000001099008,0.00001045219,0.00006238015,0.000003552438,0.0002573951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0057981,"threshold_uncertainty_score":0.01152873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114177021711429,"score_gpt":0.2101435654798854,"score_spread":0.1690017952627711,"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."}}