{"id":"W2731501872","doi":"10.3390/s17071588","title":"Towards a Cognitive Radar: Canada’s Third-Generation High Frequency Surface Wave Radar (HFSWR) for Surveillance of the 200 Nautical Mile Exclusive Economic Zone","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Interference (communication); Radar; Clutter; Telecommunications; Exclusive economic zone; Computer science; Engineering; Global Positioning System; Mile; Real-time computing; Electronic engineering; Electrical engineering; Channel (broadcasting); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974809,0.0001859422,0.000325249,0.00001778787,0.0003966181,0.00006437586,0.0001929179,0.00009687441,0.00002044142],"category_scores_gemma":[0.00009636109,0.0001518317,0.00007975813,0.00002697398,0.00009493943,0.000102711,0.00003168776,0.0001264535,0.000002456146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904107,"about_ca_system_score_gemma":0.000406458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09848938,"about_ca_topic_score_gemma":0.1929431,"domain_scores_codex":[0.9989581,0.00004887246,0.0003298754,0.0002162379,0.0001733567,0.0002735988],"domain_scores_gemma":[0.9992687,0.00009778162,0.0001621765,0.0003153362,0.00008832705,0.00006770759],"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":[0.000722423,0.0002506615,0.01387971,0.004402583,0.003477084,0.0002878475,0.01105342,0.2849494,0.5392135,0.02519019,0.07655703,0.04001616],"study_design_scores_gemma":[0.004688473,0.000191828,0.0536673,0.0006597546,0.0001792545,0.00009519375,0.002039273,0.5255578,0.4043757,0.0009927858,0.005626247,0.001926392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992986,0.0004029595,0.001423373,0.0004747049,0.001365332,0.0004077023,0.0004661578,0.00003481856,0.002438915],"genre_scores_gemma":[0.99809,0.00002017349,0.001135335,0.00002232701,0.0003026676,0.000005543622,0.00001976738,0.00003622863,0.0003679195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2406084,"threshold_uncertainty_score":0.9075139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802673397439154,"score_gpt":0.2235270115921175,"score_spread":0.205500277617726,"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."}}