{"id":"W4402276848","doi":"10.1038/s41467-024-51084-4","title":"Spatiotemporal dynamics of fast electron heating in solid-density matter via XFEL","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Lawrence Livermore National Laboratory; Natural Sciences and Engineering Research Council of Canada; Fusion Energy Sciences; U.S. Department of Energy; Japan Society for the Promotion of Science; Office of Science; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Femtosecond; Laser; Picosecond; Inertial confinement fusion; Electron; Plasma; Warm dense matter; Atomic physics; Materials science; State of matter; Electron density; Temporal resolution; Physics; Optics; Nuclear physics; Condensed matter physics","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":[0.0001744438,0.0001652841,0.0001318297,0.000129188,0.0003106985,0.0004068606,0.0002886422,0.0002454654,0.001364163],"category_scores_gemma":[0.0004169909,0.0001482131,0.0001264684,0.0001841117,0.0004515917,0.0005392845,0.0003060504,0.0004161827,0.0001360622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005755646,"about_ca_system_score_gemma":0.0003141476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558592,"about_ca_topic_score_gemma":0.001273343,"domain_scores_codex":[0.9999396,0.000006256133,0.00000262003,0.00001116595,0.00002561834,0.00001472306],"domain_scores_gemma":[0.9998465,0.00006801085,0.00004050631,0.0000182217,0.00001609052,0.00001068251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004588939,0.0001439716,0.01376457,0.0002407022,0.00006554803,0.0009888716,0.0008205972,0.1250481,0.8223848,0.01644395,0.0009177527,0.0187222],"study_design_scores_gemma":[0.00004689814,0.0001403688,0.01223605,0.00001884228,0.00001314469,0.0001691362,0.0001943927,0.622027,0.3594671,0.002678379,0.002973967,0.00003468572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877138,0.0001200709,0.01014016,0.00009555954,0.000009399825,0.00001001166,0.00008793515,0.0001585369,0.001664422],"genre_scores_gemma":[0.9950681,0.0001056914,0.004173244,0.0000147077,0.000002821854,0.00001220089,0.00007290959,0.00001896181,0.0005313561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001558592,"threshold_uncertainty_score":0.00456363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007562879298580219,"score_gpt":0.2968467528251586,"score_spread":0.2892838735265784,"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."}}