{"id":"W3016572876","doi":"10.3390/rs12081266","title":"Vessel Tracking Using Bistatic Compact HFSWR","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Bistatic radar; Tracking (education); Computer science; Doppler effect; Remote sensing; Acoustics; Radar; Geology; Physics; Telecommunications; Radar imaging","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":[0.0002814863,0.0003072432,0.0003480826,0.0003428833,0.00009278193,0.0002673673,0.0002676958,0.0004329411,0.0005368633],"category_scores_gemma":[0.0004138853,0.0001178988,0.0001806396,0.0003528284,0.0001138826,0.0005455605,0.0002735785,0.0001801388,0.0002385638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168855,"about_ca_system_score_gemma":0.0001460509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005996338,"about_ca_topic_score_gemma":0.0007496547,"domain_scores_codex":[0.9998109,0.00003565458,0.000008098965,0.00004521205,0.00008360003,0.00001663622],"domain_scores_gemma":[0.9997931,0.00005042659,0.00004697631,0.00004354209,0.00005588138,0.00001003868],"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":[0.0003084405,0.00007269765,0.002948243,0.0001330947,0.00007323318,0.0001497024,0.0001217272,0.03866536,0.6678051,0.001372112,0.000870372,0.28748],"study_design_scores_gemma":[0.0001033374,0.001147396,0.01670697,0.00002465599,0.0001074211,0.001160128,0.00006597455,0.7928734,0.182009,0.0009090059,0.004828284,0.00006444575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3623557,0.0003990101,0.6308226,0.00009797933,0.00008138256,0.00004781091,0.0001285113,0.001245893,0.004821157],"genre_scores_gemma":[0.8249744,0.0001960513,0.1727691,0.00009713593,0.00004004031,0.0000311499,0.0003012601,0.00003177042,0.00155929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005996338,"threshold_uncertainty_score":0.001795948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659020756010766,"score_gpt":0.2491544992692926,"score_spread":0.2025642917091849,"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."}}