{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088469,0.0005902228,0.001069904,0.000637738,0.0008970487,0.001248746,0.003499447,0.001303124,0.003427955],"category_scores_gemma":[0.001892318,0.0006293623,0.001124217,0.0011616,0.0009468934,0.001994393,0.0008259345,0.001435888,0.0006703904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688164,"about_ca_system_score_gemma":0.003093462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02787819,"about_ca_topic_score_gemma":0.01517538,"domain_scores_codex":[0.999449,0.0001314916,0.0000250476,0.00008272527,0.0002157893,0.00009598945],"domain_scores_gemma":[0.9991059,0.0003898495,0.0000906337,0.0001009676,0.0002282927,0.00008429938],"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":[0.00005676014,0.00004896919,0.001982566,0.00004070229,0.00002874794,0.0001295317,0.00008566938,0.9271892,0.00151284,0.05535118,0.0009108582,0.01266294],"study_design_scores_gemma":[0.00000389161,0.000003716855,0.00003248988,0.000001084538,0.000002623412,0.000008357772,0.000002257523,0.9976447,0.0002031706,0.001858425,0.0002353487,0.000003952784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02064591,0.00010596,0.9755048,0.0001926672,0.00003740517,0.00005745754,0.0001108258,0.0004642197,0.002880717],"genre_scores_gemma":[0.5671127,0.0005127898,0.4149547,0.0002782766,0.00007881533,0.0004309149,0.0004667357,0.0004411847,0.01572391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02787819,"threshold_uncertainty_score":0.05543184,"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."}}