{"id":"W2972381849","doi":"10.1103/physrevc.100.064315","title":"Probing uncertainties of nuclear structure corrections in light muonic atoms","year":2019,"lang":"en","type":"article","venue":"Physical review. C","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Multipole expansion; Physics; Formalism (music); Nucleon; Polarizability; Muon; Anomalous magnetic dipole moment; Nuclear structure; Particle physics; Nuclear physics; Quantum mechanics","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":[0.001504308,0.0004847629,0.0002972511,0.0006029411,0.0004690887,0.0005746643,0.001073068,0.0008214168,0.001087209],"category_scores_gemma":[0.006263349,0.0002713752,0.0003063362,0.0004133476,0.00097046,0.0008461984,0.0009750034,0.0008802917,0.0001555424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041586,"about_ca_system_score_gemma":0.0004694681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222983,"about_ca_topic_score_gemma":0.002595253,"domain_scores_codex":[0.9993573,0.0002261849,0.0000154691,0.00008269963,0.0002523415,0.00006606172],"domain_scores_gemma":[0.9973673,0.001809402,0.0002843517,0.0003202053,0.0001514567,0.00006727466],"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":[0.001574962,0.00021127,0.02325564,0.0002040792,0.0001396715,0.0005266179,0.001073363,0.6431347,0.2003578,0.08441601,0.0005050315,0.04460084],"study_design_scores_gemma":[0.00003464877,0.0001005477,0.00504118,0.00002060309,0.00001492583,0.00007182043,0.00008635713,0.8630973,0.1188565,0.01196296,0.0006660716,0.00004697628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916817,0.0001485026,0.07877224,0.0001840434,0.00001482372,0.000015129,0.00006629265,0.0003877801,0.003594145],"genre_scores_gemma":[0.9867651,0.00005097318,0.01267022,0.00002216505,0.000003097713,0.000008576887,0.00003547543,0.00005502366,0.000389324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00222983,"threshold_uncertainty_score":0.007955611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004803557598672036,"score_gpt":0.2613889079360069,"score_spread":0.2565853503373349,"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."}}