{"id":"W2914137640","doi":"10.1103/physrevlett.122.052502","title":"Towards Neutron Capture on Exotic Nuclei: Demonstrating <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>d</mml:mi><mml:mo>,</mml:mo><mml:mi>p</mml:mi><mml:mi>γ</mml:mi><mml:mo stretchy=\"false\">)</mml:mo></mml:math> as a Surrogate Reaction for <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>n</mml:mi><mml:mo>,</mml:mo><mml:mi>γ</mml:mi><mml:mo stretchy=\"false\">)</mml:mo></mml:math>","year":2019,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"U.S. Department of Energy; Laboratory Directed Research and Development; Lawrence Livermore National Laboratory; Nuclear Physics; National Nuclear Security Administration; National Science Foundation","keywords":"Neutron; Isotope; Neutron capture; Physics; Nuclear physics; Stewardship (theology); Computer science; Benchmark (surveying); Database; Geology","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":[0.001589056,0.000763893,0.0003371638,0.0006739685,0.001041082,0.002695346,0.0009674177,0.001659252,0.08547782],"category_scores_gemma":[0.002019705,0.0005353341,0.0007496086,0.000737093,0.001005536,0.004669745,0.002295236,0.00212522,0.03278959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145827,"about_ca_system_score_gemma":0.0008144838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007960707,"about_ca_topic_score_gemma":0.01836748,"domain_scores_codex":[0.9993124,0.0001369047,0.00002622391,0.00009900576,0.0003521153,0.00007339977],"domain_scores_gemma":[0.9995072,0.0001591193,0.00003205178,0.0001269974,0.0001322476,0.00004236051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003366855,0.0001211168,0.001168238,0.001048526,0.0000420461,0.0006530375,0.001320164,0.002953472,0.06331601,0.5748435,0.2058828,0.1483144],"study_design_scores_gemma":[0.00004931607,0.00004533652,0.0008212501,0.0001900358,0.00001335258,0.0005172473,0.000266694,0.005585853,0.04642533,0.06554719,0.8804815,0.00005691884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02014694,0.004342547,0.2020484,0.01306934,0.002216254,0.0002111438,0.002886383,0.00465965,0.7504194],"genre_scores_gemma":[0.2008268,0.01877303,0.2432823,0.006211266,0.0005577785,0.000385873,0.008832836,0.006456887,0.5146732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08547782,"threshold_uncertainty_score":0.2859519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180667606854278,"score_gpt":0.268616198481846,"score_spread":0.2468095224133032,"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."}}