{"id":"W2572023683","doi":"","title":"Detecting aircraft in auroral clutter by HF sky wave radar using 2D continuous wavelets","year":2016,"lang":"en","type":"article","venue":"European Radar Conference","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Wavelet; Skywave; Radar; Radar horizon; Remote sensing; Computer science; Continuous-wave radar; Geology; Doppler effect; SIGNAL (programming language); Doppler radar; Acoustics; Radar imaging; Artificial intelligence; Physics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003731692,0.00042269,0.0002365439,0.000451622,0.0001064299,0.0005810227,0.0001765897,0.0003431005,0.0003550519],"category_scores_gemma":[0.0008917854,0.0001487438,0.00021842,0.0004271804,0.000204013,0.0004536555,0.0003394236,0.0002440999,0.0001841661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009225225,"about_ca_system_score_gemma":0.0001380887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000800917,"about_ca_topic_score_gemma":0.0009037881,"domain_scores_codex":[0.9998261,0.00004574665,0.000007590777,0.00002810856,0.00006614657,0.00002626603],"domain_scores_gemma":[0.9997041,0.0001450174,0.00004247886,0.00003779798,0.00005298107,0.00001759967],"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":[0.0009833613,0.0002074066,0.01229133,0.0001469359,0.00009580653,0.0005523453,0.0003904767,0.07973241,0.5774732,0.001462537,0.0008008444,0.3258633],"study_design_scores_gemma":[0.00005565407,0.0007662415,0.02740987,0.00001685996,0.00005994745,0.0006936371,0.0002037085,0.8323707,0.1363874,0.0007631377,0.00121744,0.00005548327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588627,0.0001549247,0.1395224,0.00006072222,0.0000217608,0.00001206398,0.00005538679,0.0001410413,0.001168904],"genre_scores_gemma":[0.9344774,0.0002676787,0.06442484,0.00003361023,0.00002653646,0.00001161018,0.0001409135,0.0000163811,0.0006009914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000800917,"threshold_uncertainty_score":0.00197351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280510811654061,"score_gpt":0.2071115923000445,"score_spread":0.1843064841835039,"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."}}