{"id":"W2972422451","doi":"10.1016/j.jcp.2019.108916","title":"LPSE: A 3-D wave-based model of cross-beam energy transfer in laser-irradiated plasmas","year":2019,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; Office of Science; University of Rochester; Rensselaer Polytechnic Institute; U.S. Department of Energy","keywords":"Physics; Eikonal equation; Plasma; Computational physics; Electromagnetic radiation; Brillouin scattering; Inertial confinement fusion; Laser; Scattering; Wave propagation; Optics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000663383,0.0008898752,0.001187169,0.0006499327,0.001062786,0.00201733,0.002766193,0.003911966,0.005668801],"category_scores_gemma":[0.002248383,0.001100349,0.0013013,0.0009300506,0.00121556,0.001784344,0.001508429,0.001743548,0.001242469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392098,"about_ca_system_score_gemma":0.001617327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189213,"about_ca_topic_score_gemma":0.007311107,"domain_scores_codex":[0.9997514,0.00008209076,0.00001205267,0.00003181798,0.00007788164,0.00004479811],"domain_scores_gemma":[0.9992321,0.0003877067,0.00006764217,0.00007701961,0.0001466413,0.00008897918],"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":[0.00002469602,0.00001926842,0.0001630878,0.00001730174,0.00001428385,0.00003959585,0.00002027673,0.9935799,0.0004329949,0.004111816,0.000449557,0.001127352],"study_design_scores_gemma":[0.000005392177,0.000002261023,0.00002590804,0.000001433611,0.000001216694,0.000003450509,0.000002117602,0.9989368,0.00006408742,0.0007826448,0.0001715786,0.000003089953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06904422,0.00077062,0.898898,0.001358027,0.000308617,0.0002112993,0.001561752,0.002251,0.02559651],"genre_scores_gemma":[0.8654267,0.0009634673,0.1100466,0.0008156214,0.0002471786,0.0007393874,0.001397069,0.001443397,0.01892046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0189213,"threshold_uncertainty_score":0.03762233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534760358169638,"score_gpt":0.2609523980474805,"score_spread":0.2456047944657841,"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."}}