{"id":"W4328107729","doi":"10.5515/kjkiees.2023.34.2.130","title":"M&amp;S Technique for Burn Through Range Analysis Considering Terrain Environment and Earth Curvature","year":2023,"lang":"en","type":"article","venue":"The Journal of Korean Institute of Electromagnetic Engineering and Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Radar; Radar jamming and deception; Terrain; Range (aeronautics); Radar lock-on; Remote sensing; Curvature; Radar cross-section; Corner reflector; Power (physics); Bistatic radar; Computer science; Jamming; Fire-control radar; Continuous-wave radar; Pulse-Doppler radar; Geology; Acoustics; Aerospace engineering; Engineering; Radar imaging; Telecommunications; Physics; Geography; Optics; Mathematics","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":[0.0003043497,0.0006027243,0.0003756165,0.001048524,0.0003499849,0.0003804078,0.0004070749,0.0004799526,0.001228296],"category_scores_gemma":[0.00126973,0.0002410064,0.0005025398,0.0009730375,0.0003249983,0.0008545267,0.0004609468,0.0005135067,0.0004375187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858704,"about_ca_system_score_gemma":0.0003888154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008719292,"about_ca_topic_score_gemma":0.001036832,"domain_scores_codex":[0.9997599,0.00004513513,0.00001555381,0.0000357286,0.0001211621,0.00002240953],"domain_scores_gemma":[0.9995465,0.0001844481,0.00007709464,0.00005316423,0.000123426,0.00001537061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003128969,0.00009751265,0.00823977,0.0003277499,0.0001011993,0.0005988118,0.0006556668,0.1510942,0.1887772,0.01413736,0.001921643,0.633736],"study_design_scores_gemma":[0.00001422034,0.0001820582,0.003440152,0.00001707573,0.00003909554,0.000753576,0.0001391525,0.94651,0.04210703,0.002902396,0.003859852,0.00003555666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02942938,0.000173796,0.9686447,0.00004455397,0.00002393152,0.00001918016,0.00001988116,0.0004562526,0.001188432],"genre_scores_gemma":[0.4831325,0.0004373149,0.5141062,0.00005622134,0.00004670199,0.00006349187,0.00006973449,0.00007905791,0.00200865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001228296,"threshold_uncertainty_score":0.004109085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008182971845615774,"score_gpt":0.2127798382871554,"score_spread":0.2045968664415396,"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."}}