{"id":"W1791388022","doi":"10.1103/physrevlett.114.215001","title":"Scaling the Yield of Laser-Driven Electron-Positron Jets to Laboratory Astrophysical Applications","year":2015,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Laboratory Directed Research and Development; Bonnie J. Addario Lung Cancer Foundation; Lawrence Livermore National Laboratory; University of California, Los Angeles; U.S. Department of Energy","keywords":"Physics; Scaling; Positron; Nuclear physics; Electron; Yield (engineering); Laser; Positron emission; Atomic physics; Optics; Thermodynamics","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":[0.00008674054,0.0001678161,0.0003095079,0.00002349126,0.00007879523,0.0000294448,0.0002778119,0.000007298981,0.00004759863],"category_scores_gemma":[0.00004698467,0.0001202451,0.0001708575,0.0003462307,0.00005884009,0.000101914,0.00007295688,0.0002344182,0.0005936875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004208651,"about_ca_system_score_gemma":0.00005819592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007761166,"about_ca_topic_score_gemma":0.000001604066,"domain_scores_codex":[0.9989663,0.00006553984,0.0002477539,0.000228334,0.000240945,0.000251156],"domain_scores_gemma":[0.9987628,0.0003915863,0.0001269345,0.0003996555,0.0001412793,0.0001777794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001649308,0.006007689,0.007010602,0.001290393,0.001030299,0.000009421303,0.001313645,0.06835341,0.3088552,0.09329634,0.4813144,0.03135363],"study_design_scores_gemma":[0.00138437,0.0007953193,0.002412782,0.00364128,0.001432165,0.000003124974,0.0003573245,0.004228052,0.2278228,0.002715669,0.7534873,0.001719894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514207,0.0002436098,0.03009702,0.0143112,0.0001821978,0.001445927,0.0001769527,0.00005676695,0.002065578],"genre_scores_gemma":[0.9950002,0.00002777554,0.0005382882,0.003404097,0.0006368645,0.0003270133,0.00002793576,0.0000202405,0.00001762018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2721728,"threshold_uncertainty_score":0.7630849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598991822196031,"score_gpt":0.2932354337768483,"score_spread":0.277245515554888,"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."}}