{"id":"W1984661888","doi":"10.1155/2011/973656","title":"The Flying Laboratory for the Observation of ADS-B Signals","year":2011,"lang":"en","type":"article","venue":"International Journal of Navigation and Observation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Western University","funders":"Defence Research and Development Canada","keywords":"Float (project management); Global Positioning System; Automatic dependent surveillance-broadcast; Remote sensing; Near space; Satellite; Transit (satellite); Computer science; Air traffic control; Aerospace engineering; Real-time computing; Aeronautics; Meteorology; Telecommunications; Geography; Engineering; Marine engineering; Transport 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":[0.0009347573,0.0005005815,0.0002772583,0.0007548077,0.001150595,0.0004612834,0.0005705299,0.0003763371,0.01188263],"category_scores_gemma":[0.0005172705,0.0001356683,0.0002746827,0.0003624872,0.0003932137,0.0004442976,0.0006149102,0.0006623802,0.00306616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635428,"about_ca_system_score_gemma":0.001610484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00799868,"about_ca_topic_score_gemma":0.01492452,"domain_scores_codex":[0.999441,0.00007864926,0.0000163701,0.0001174872,0.0002595843,0.00008689364],"domain_scores_gemma":[0.9990891,0.00008124945,0.00007357369,0.000220912,0.0003562601,0.0001788277],"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":[0.001118036,0.0005541372,0.0139952,0.0002535895,0.00007252738,0.0008272979,0.0008804752,0.002089389,0.6927625,0.01985594,0.08510746,0.1824835],"study_design_scores_gemma":[0.0008388677,0.00662205,0.04641299,0.0001326495,0.0001528679,0.002318266,0.0008968583,0.04092736,0.4392829,0.002829615,0.4593773,0.0002083021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6337462,0.002288445,0.2090197,0.003676347,0.001400156,0.003522279,0.01477372,0.01130082,0.1202722],"genre_scores_gemma":[0.7459316,0.0004696292,0.2073226,0.0009392646,0.0002196374,0.000648778,0.009136485,0.0003074059,0.03502458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188263,"threshold_uncertainty_score":0.03975135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078643876536628,"score_gpt":0.2482251437896409,"score_spread":0.2074387050242746,"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."}}