{"id":"W2888438017","doi":"10.1038/s41586-018-0485-4","title":"Acceleration of electrons in the plasma wakefield of a proton bunch","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Fundação para a Ciência e a Tecnologia; National Research Foundation; Science and Technology Facilities Council; National Research Council Canada; Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation; Norges Forskningsråd; National Research Foundation of Korea; CERN; Deutsche Forschungsgemeinschaft; Leverhulme Trust","keywords":"Acceleration; Plasma acceleration; Proton; Electron; Physics; Plasma; Nuclear physics; Atomic physics; Classical 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":[0.0001366078,0.0001584197,0.0001522733,0.0001440963,0.0003782331,0.0002533362,0.0001926227,0.0002049709,0.002890857],"category_scores_gemma":[0.0002106829,0.0001187781,0.0001007874,0.00009828668,0.0003479961,0.0003052185,0.0005281359,0.0004408978,0.0004331677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439177,"about_ca_system_score_gemma":0.0002002331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003199299,"about_ca_topic_score_gemma":0.0003945243,"domain_scores_codex":[0.9999537,0.000004586981,0.000001165504,0.000007858847,0.00001818566,0.00001435],"domain_scores_gemma":[0.9998991,0.00002007299,0.0000152939,0.000009783673,0.00002572345,0.00002997229],"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":[0.00134193,0.0001247402,0.005850418,0.0001564643,0.00006434174,0.001465982,0.0004041538,0.01496488,0.9191173,0.02197615,0.003007139,0.03152645],"study_design_scores_gemma":[0.0004530422,0.003246977,0.03518345,0.00005936053,0.00006308538,0.001146879,0.0005328805,0.1760394,0.7256973,0.02360022,0.03386846,0.0001088407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622182,0.0008015544,0.02492062,0.0002482865,0.0002721407,0.00007244117,0.00009952856,0.0003766884,0.01099044],"genre_scores_gemma":[0.9903211,0.00009756083,0.004389277,0.00006172714,0.00002711066,0.0000137354,0.00005628747,0.00002051473,0.005012671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002890857,"threshold_uncertainty_score":0.009670854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008016967116275095,"score_gpt":0.2764761346924074,"score_spread":0.2684591675761323,"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."}}