{"id":"W2897836196","doi":"10.1063/1.5039388","title":"Calibration of proton dispersion for the NIF electron positron proton spectrometer (NEPPS) for short-pulse laser experiments on the NIF ARC","year":2018,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Spectrometer; Proton; Dispersion (optics); Electron; Optics; Physics; Laser; Computational physics; Atomic physics; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005594718,0.0001784493,0.000244763,0.0000628046,0.0004232371,0.00009472044,0.0003159289,0.00002891099,0.000615417],"category_scores_gemma":[0.00005052992,0.00009901452,0.0002339294,0.0002253813,0.0001796343,0.0002094938,0.00005419802,0.00008636856,0.00002209262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005297686,"about_ca_system_score_gemma":0.00006892651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704987,"about_ca_topic_score_gemma":0.000002315304,"domain_scores_codex":[0.9985307,0.00005656651,0.0004725912,0.0003222704,0.0003375723,0.0002802463],"domain_scores_gemma":[0.9987626,0.0001582992,0.0002985167,0.0004821937,0.0002548036,0.00004356243],"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":[0.002918672,0.0101905,0.01916557,0.01881796,0.001821583,6.311477e-7,0.001859269,0.00003606686,0.4858985,0.06124859,0.09601483,0.3020279],"study_design_scores_gemma":[0.0004003058,0.00074115,0.00008630771,0.001857584,0.00010477,3.624225e-7,0.0000803765,0.001606504,0.9648626,0.0004790658,0.02965861,0.0001223077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845194,0.00007329008,0.0009731128,0.0005572705,0.0007622659,0.01136968,0.0002711927,0.000009379246,0.001464414],"genre_scores_gemma":[0.996001,0.00009531301,0.0003940401,0.00009068041,0.0001674303,0.002332704,0.0001772242,0.00001872815,0.0007228492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4789641,"threshold_uncertainty_score":0.6738385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361951730848102,"score_gpt":0.307535352501858,"score_spread":0.283915835193377,"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."}}