{"id":"W2807349052","doi":"10.1038/s41467-018-04178-9","title":"Towards ultrafast dynamics with split-pulse X-ray photon correlation spectroscopy at free electron laser sources","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"SLAC National Accelerator Laboratory; Argonne National Laboratory; Basic Energy Sciences; Office of Science; Hamburg Centre for Ultrafast Imaging; Deutsche Forschungsgemeinschaft; National Research Foundation; National Research Foundation of Korea; U.S. Department of Energy","keywords":"Ultrashort pulse; Femtosecond; Laser; Nanosecond; Free electron model; Spectroscopy; Physics; Photon; Speckle pattern; Free-electron laser; Electron; Femtochemistry; Optics; Atomic physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303462,0.000239417,0.0001954942,0.0000951659,0.0005830873,0.00006314024,0.001268248,0.0001353667,0.0001329296],"category_scores_gemma":[0.00002725851,0.0002159287,0.0000701562,0.0003643018,0.0003749658,0.0002512311,0.0003588801,0.001035158,0.00004211214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601425,"about_ca_system_score_gemma":0.00007825657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504018,"about_ca_topic_score_gemma":0.0008126749,"domain_scores_codex":[0.9988745,0.00008160582,0.0002176601,0.0002934341,0.000212737,0.0003200887],"domain_scores_gemma":[0.9968843,0.00009411551,0.0002024893,0.002479207,0.0002653881,0.00007452775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004827965,0.001877559,0.3656107,0.00004033156,0.0006677088,0.000002556989,0.003423579,0.0004588189,0.0541188,0.5305465,0.03116299,0.01160764],"study_design_scores_gemma":[0.003428404,0.001169,0.08717247,0.0003531906,0.000501761,0.00002058023,0.001009716,0.04748637,0.5604582,0.08615056,0.2097396,0.00251012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6756864,0.0006074983,0.1984341,0.007191558,0.0002600811,0.001306202,0.0004585164,0.001019201,0.1150365],"genre_scores_gemma":[0.8885152,0.00002536931,0.1097648,0.0001457855,0.0001581256,0.00007875044,0.0006583781,0.00004648504,0.0006070132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5063395,"threshold_uncertainty_score":0.8805315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006067724637847355,"score_gpt":0.2798039629500929,"score_spread":0.2737362383122456,"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."}}