{"id":"W4283370273","doi":"10.23919/eucap53622.2022.9768951","title":"OTHR Phase-Only Beamformer Drone-Based Measurements","year":2022,"lang":"en","type":"article","venue":"2022 16th European Conference on Antennas and Propagation (EuCAP)","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Beamforming; Clutter; Calibration; Drone; Computer science; Antenna (radio); Phase (matter); Power (physics); Remote sensing; Electronic engineering; Acoustics; Radar; Telecommunications; Engineering; Physics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003511026,0.0003446471,0.0003530042,0.0003244451,0.0002960906,0.000320232,0.0004211616,0.0003703735,0.004465123],"category_scores_gemma":[0.0008849815,0.0001347524,0.0001347317,0.0004281911,0.0003271289,0.0003154564,0.0004164706,0.0003034232,0.001632537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320803,"about_ca_system_score_gemma":0.0008210396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01682816,"about_ca_topic_score_gemma":0.04189999,"domain_scores_codex":[0.9995031,0.00007640023,0.00001692547,0.00009810967,0.0002393078,0.00006613704],"domain_scores_gemma":[0.9994581,0.00007631516,0.00003196458,0.00007460978,0.0003286614,0.00003035156],"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":[0.00143062,0.0002306712,0.009403587,0.0002840477,0.00007657649,0.0002918661,0.0009181584,0.03479717,0.8371953,0.001774392,0.004572526,0.1090251],"study_design_scores_gemma":[0.0006125149,0.003147136,0.1177356,0.00007627405,0.0001948449,0.001319513,0.0007885553,0.1116321,0.7312561,0.0007252197,0.03229869,0.0002134799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506889,0.0001904654,0.1109865,0.0001708347,0.00008423445,0.0003214218,0.004477907,0.002264182,0.03081563],"genre_scores_gemma":[0.9608756,0.0001084212,0.03042348,0.0001029029,0.000007703973,0.00008891103,0.001387219,0.0001181937,0.006887625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682816,"threshold_uncertainty_score":0.03346044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844310000442486,"score_gpt":0.2501480300013693,"score_spread":0.2017049299969444,"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."}}