{"id":"W3030952115","doi":"10.1038/s41567-020-0913-x","title":"Growth of concomitant laser-driven collisionless and resistive electron filamentation instabilities over large spatiotemporal scales","year":2020,"lang":"en","type":"article","venue":"Nature Physics","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Lawrence Livermore National Laboratory; Nuclear Physics; Engineering and Physical Sciences Research Council; Ministry of Education and Science of the Russian Federation; Partnership for Advanced Computing in Europe AISBL; Laserlab-Europe; Agence Nationale de la Recherche; European Commission; European Regional Development Fund; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Filamentation; Physics; Weibel instability; Instability; Plasma; Electron; Resistive touchscreen; Picosecond; Laser; Atomic physics; Optics; Mechanics; Nuclear physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022596,0.0001158142,0.0001435109,0.0002247465,0.0002990336,0.0005743653,0.0003508003,0.000269942,0.002286825],"category_scores_gemma":[0.0009751628,0.0001515203,0.0001402462,0.0001722842,0.0002930226,0.0004697234,0.0004015279,0.0004883294,0.0002957833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644285,"about_ca_system_score_gemma":0.0001762179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000456282,"about_ca_topic_score_gemma":0.0006712586,"domain_scores_codex":[0.9999169,0.000003931631,0.000003797234,0.0000232688,0.00003248583,0.00001953228],"domain_scores_gemma":[0.999379,0.0002551008,0.0001209864,0.00009370226,0.00007531681,0.00007585158],"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":[0.0001102707,0.0000333001,0.001760595,0.00004088146,0.0000125907,0.0002604922,0.0001522544,0.001759312,0.9873452,0.002671428,0.0004204189,0.005433246],"study_design_scores_gemma":[0.000041619,0.0001379144,0.03705793,0.00001367945,0.00002539585,0.0007784346,0.0001975453,0.08288468,0.8710554,0.002488054,0.005286536,0.00003270428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828317,0.0003473554,0.01079469,0.0002181551,0.00003597351,0.00002114086,0.0002328638,0.0002474776,0.005270696],"genre_scores_gemma":[0.9966093,0.0000686078,0.001502272,0.00002350059,0.00001151913,0.00001944407,0.0001211066,0.00002587843,0.001618306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002286825,"threshold_uncertainty_score":0.007650197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007651221489505453,"score_gpt":0.2612542436360655,"score_spread":0.25360302214656,"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."}}