{"id":"W2382278237","doi":"","title":"A new 3D Gaussian beams launching and predicting model in complex metropolis environment","year":2014,"lang":"en","type":"article","venue":"Chinese Journal of Radio Science","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffraction; Superposition principle; Ray tracing (physics); Beam tracing; Gaussian beam; Gaussian; Optics; Reflection (computer programming); Beam (structure); Tracing; Geometrical optics; Distributed ray tracing; Transverse plane; Heuristic; M squared; Beam diameter; Physics; Mathematics; Computer science; Mathematical analysis; Mathematical optimization; Engineering; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960806,0.0001056593,0.0002402356,0.0002527353,0.00006628328,0.00004834677,0.0002759116,0.00004041502,0.000009334677],"category_scores_gemma":[0.0001222934,0.00007232793,0.0000285106,0.000286261,0.0001308969,0.0003106213,0.0000478088,0.000243476,0.000001250795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166777,"about_ca_system_score_gemma":0.00002387225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003824132,"about_ca_topic_score_gemma":0.00001073653,"domain_scores_codex":[0.999087,0.00001177258,0.0003027098,0.0001131455,0.000252718,0.0002326999],"domain_scores_gemma":[0.9995739,0.00003576628,0.00007122433,0.0001228767,0.00001048392,0.0001857835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008333429,0.00003507871,0.06422142,0.00006378422,0.00002096843,0.00001939913,0.001482508,0.8025303,0.09358973,0.003085421,0.0002088583,0.03473419],"study_design_scores_gemma":[0.0003295128,0.00005345082,0.024096,0.00003824578,0.000004858364,0.0001390971,0.00004017766,0.9736406,0.0001872417,0.001134737,0.000250569,0.00008547203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547359,0.0002714024,0.1438324,0.0001833165,0.0001017124,0.00003902589,5.921628e-7,0.00002257812,0.000813114],"genre_scores_gemma":[0.9662877,0.00003358405,0.03354293,0.00001510728,0.0001012331,4.320027e-7,8.750358e-8,0.000008225676,0.00001071039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1711103,"threshold_uncertainty_score":0.2949447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006215676336846989,"score_gpt":0.2107770673586621,"score_spread":0.2045613910218151,"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."}}