{"id":"W2999516989","doi":"10.1109/cwtm43797.2019.8955280","title":"Time-Domain Motion Compensation of HF-Radar Doppler Spectra for an Antenna on a Moving Platform","year":2019,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Radar cross-section; Radar; Bistatic radar; Frequency domain; Time domain; Doppler effect; Computer science; Antenna (radio); Physics; Acoustics; Radar imaging; Telecommunications; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954058,0.0003650121,0.0001531267,0.0001826543,0.0001118141,0.0002001398,0.0002896658,0.0003734571,0.0007976879],"category_scores_gemma":[0.0007941081,0.00009404029,0.0002264583,0.0002238748,0.0001865071,0.000371777,0.0001744487,0.0002290454,0.0002583138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223099,"about_ca_system_score_gemma":0.0001827459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007691471,"about_ca_topic_score_gemma":0.0008260455,"domain_scores_codex":[0.9998752,0.00001925855,0.000004718022,0.0000286829,0.00005726858,0.00001483454],"domain_scores_gemma":[0.9998444,0.00005276754,0.00002726536,0.00002341534,0.00004611095,0.000005948799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005461107,0.00008523224,0.002188559,0.0002121725,0.00006979219,0.0002363826,0.0001816605,0.2156812,0.5808279,0.00707614,0.0006258545,0.192269],"study_design_scores_gemma":[0.00001604952,0.0001372894,0.00540492,0.00002007396,0.00003498244,0.0002712381,0.00003382269,0.8628711,0.1284327,0.0009088888,0.001841736,0.00002716185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3270701,0.0004793443,0.6685703,0.0001271356,0.0001411521,0.00003121258,0.00006727659,0.0003052721,0.003208198],"genre_scores_gemma":[0.8803656,0.0003244048,0.1166548,0.00005846293,0.00004342455,0.00001921105,0.000113544,0.00005575084,0.002364785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007976879,"threshold_uncertainty_score":0.00266856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708495949452471,"score_gpt":0.2114822999443037,"score_spread":0.194397340449779,"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."}}