{"id":"W4283819573","doi":"10.1103/revmodphys.94.045004","title":"Ultrafast electron diffraction: Visualizing dynamic states of matter","year":2022,"lang":"en","type":"preprint","venue":"Reviews of Modern Physics","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Tsinghua University; U.S. Department of Energy; National Science Foundation","keywords":"Ultrafast electron diffraction; Ultrashort pulse; State of matter; Physics; Electron; Electron diffraction; Nanotechnology; Engineering physics; Laser; Diffraction; Materials science; Optics; Nuclear physics; 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":[0.0004808,0.0005726885,0.0003786953,0.0009333302,0.0003047196,0.0008952193,0.0004857535,0.0009937343,0.002632226],"category_scores_gemma":[0.0004738249,0.000275961,0.0001731668,0.001032339,0.0005884428,0.001406974,0.0007344661,0.001113141,0.0008427712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568301,"about_ca_system_score_gemma":0.0002566159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125929,"about_ca_topic_score_gemma":0.0005280831,"domain_scores_codex":[0.9997119,0.0000435646,0.000008896399,0.00005882262,0.0001480336,0.00002866403],"domain_scores_gemma":[0.9998474,0.00007051986,0.00001930638,0.00002374089,0.00002724262,0.00001172528],"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":[0.0002266604,0.0000700517,0.001668643,0.0015853,0.00008983183,0.00035501,0.0004617877,0.002420951,0.7589849,0.06242434,0.01348427,0.1582283],"study_design_scores_gemma":[0.00006034769,0.000164531,0.004510757,0.0003735971,0.00005702201,0.002720315,0.0003767787,0.0151323,0.666599,0.03488061,0.2750449,0.00007999506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.157072,0.2294472,0.5284736,0.003188375,0.00130149,0.000160828,0.002152849,0.002861324,0.07534235],"genre_scores_gemma":[0.4630581,0.1488406,0.3389807,0.0008146573,0.0004483985,0.0002197162,0.002573011,0.0003919235,0.04467286],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002632226,"threshold_uncertainty_score":0.008805692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209656067446811,"score_gpt":0.3429724729866527,"score_spread":0.3208759123121846,"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."}}