{"id":"W3175540058","doi":"10.1139/juvs-2021-0005","title":"A comparison of two novel approaches for conducting detect and avoid flight test","year":2021,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Azimuth; Trajectory; Flight test; Computer science; Position (finance); Set (abstract data type); Track (disk drive); Simulation; Path (computing); Time of arrival; Point (geometry); Geographic coordinate system; Geodesy; Mathematics; Geography; Geometry; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003570978,0.00009616134,0.0003298064,0.00008941813,0.0000473305,0.00004721541,0.00007360791,0.00004644589,0.000002288352],"category_scores_gemma":[0.00008451766,0.00008828584,0.00006394954,0.0001367804,0.00001603995,0.0001567808,0.00001556958,0.0001065072,3.715913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000268239,"about_ca_system_score_gemma":0.00001494014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001798951,"about_ca_topic_score_gemma":0.000005030712,"domain_scores_codex":[0.9991018,0.0000205588,0.0005311158,0.00007976543,0.0001410426,0.0001257667],"domain_scores_gemma":[0.9993061,0.0001665723,0.0002518228,0.00008138365,0.0001472178,0.00004687893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002537051,0.00009287897,0.003897539,0.001449229,0.0002287014,0.0000050115,0.0009505118,0.9449837,0.04303871,0.000620886,0.0008702249,0.003837248],"study_design_scores_gemma":[0.001383611,0.0001290771,0.0002059721,0.0002435874,0.00007843037,0.00003847568,0.002198743,0.9745703,0.02018486,0.00001539753,0.0008365062,0.0001150546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6760393,0.004971358,0.3167683,0.0001148911,0.0007647255,0.0003362175,0.00001055838,0.0000539107,0.000940785],"genre_scores_gemma":[0.9930987,0.00002529572,0.006564942,0.000003047151,0.0001982371,0.000003893955,0.000003034727,0.00001956185,0.00008322502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170595,"threshold_uncertainty_score":0.3600192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08890992163931415,"score_gpt":0.2838019177798938,"score_spread":0.1948919961405796,"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."}}