{"id":"W2627052215","doi":"10.1109/radar.2017.7944332","title":"RCS modelling of a mini-UAV based on dynamic measurements","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Radar cross-section; Monte Carlo method; Probability density function; Computer science; Radar; Radar tracker; Algorithm; Remote sensing; Statistics; Mathematics; Telecommunications","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":[0.0002894238,0.0001019355,0.0001288924,0.00006931958,0.00009189057,0.00001820983,0.0001356794,0.00004397133,0.00005024253],"category_scores_gemma":[0.00004406186,0.00009555837,0.00005407708,0.00003115297,0.00001825365,0.00009443882,0.00000772867,0.00007432655,0.00001171927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004372562,"about_ca_system_score_gemma":0.000007897934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000597504,"about_ca_topic_score_gemma":0.00001072846,"domain_scores_codex":[0.9993469,0.00001392113,0.0001521239,0.0001081728,0.0002464626,0.0001324342],"domain_scores_gemma":[0.9994287,0.00002122984,0.00004762762,0.0004073438,0.00005258383,0.00004254885],"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":[0.00001764216,0.00001553632,0.0002978389,0.0000377149,0.00001353847,3.637938e-7,0.00001127947,0.9596959,0.03171543,0.00001762127,0.00002666568,0.008150463],"study_design_scores_gemma":[0.0003966582,0.00003066577,0.0002204223,0.00003921181,0.000009156983,1.233006e-7,0.000006059907,0.9033232,0.09535854,0.0002074534,0.0003069412,0.0001016181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716603,0.00003325872,0.9418488,0.00001119537,0.0003399711,0.00009114737,0.000001276857,0.0001272408,0.04038104],"genre_scores_gemma":[0.8843991,0.000006636015,0.1152349,0.00001500139,0.0000174449,0.000006655963,6.500085e-7,0.0000185012,0.0003011922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.867233,"threshold_uncertainty_score":0.3896757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486424462567464,"score_gpt":0.3186503790627806,"score_spread":0.1700079328060342,"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."}}