{"id":"W4328119369","doi":"10.1017/hpl.2023.27","title":"Versatile tape-drive target for high-repetition-rate laser-driven proton acceleration","year":2023,"lang":"en","type":"article","venue":"High Power Laser Science and Engineering","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"European Regional Development Fund; Fusion Energy Sciences; U.S. Department of Energy; Central Laser Facility, Science and Technology Facilities Council; Science and Technology Facilities Council; National Nuclear Security Administration; Office of Science; National Science Foundation","keywords":"Laser; Acceleration; Materials science; Optics; Proton; Repetition (rhetorical device); Pulse (music); FOIL method; Computer science; Physics; Nuclear physics; Detector","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":[0.0001902662,0.0001416616,0.0001236575,0.0001657441,0.0002991132,0.0002203904,0.00013224,0.0000298381,0.0003421896],"category_scores_gemma":[0.00005863016,0.0001340563,0.00003364209,0.0004870902,0.00005406921,0.0006632191,0.00006215839,0.0000890062,0.0001671136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003625553,"about_ca_system_score_gemma":0.00007097816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009844349,"about_ca_topic_score_gemma":0.000003242724,"domain_scores_codex":[0.9990233,0.000005949002,0.0001585457,0.0003023359,0.0001750906,0.0003347349],"domain_scores_gemma":[0.9993624,0.0001389098,0.00004732188,0.0001612097,0.0001772868,0.0001128877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009592687,0.0005399312,0.01183608,0.0002987583,0.0001797487,0.00002716039,0.001830557,0.7312294,0.09351061,0.1272526,0.03070119,0.002498024],"study_design_scores_gemma":[0.002272312,0.0007039139,0.02220572,0.0002334954,0.0000661647,0.000002581363,0.0006984056,0.3659035,0.5147397,0.003098218,0.08894946,0.001126534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804854,9.817988e-7,0.01681116,0.0003361868,0.0009329614,0.000519699,0.0001571387,0.0001386147,0.0006178003],"genre_scores_gemma":[0.9966632,0.000003517999,0.002339068,0.00003499332,0.000161927,0.0003147793,0.0001072037,0.00001724321,0.0003580773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4212291,"threshold_uncertainty_score":0.5466659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008446525566633428,"score_gpt":0.229800771603956,"score_spread":0.2213542460373226,"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."}}