{"id":"W4318701934","doi":"10.1103/physrevc.107.014327","title":"<i>Ab initio</i> calculation of muon capture on <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Mg</mml:mi><mml:mprescripts/><mml:none/><mml:mn>24</mml:mn></mml:mmultiscripts></mml:math>","year":2023,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; National Research Council Canada; Academy of Finland; Compute Canada; Deutsche Forschungsgemeinschaft; Suomen Kulttuurirahasto; TRIUMF; U.S. Department of Energy","keywords":"Physics; Muon; Muon capture; Hadron; Valence (chemistry); Particle physics; Nuclear shell model; Excited state; Ab initio; Renormalization group; Atomic physics; Mathematical physics; Quantum mechanics; SHELL model","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001135525,0.001037715,0.0008743502,0.0002726644,0.001275319,0.0005962926,0.001543224,0.0006431287,0.001946799],"category_scores_gemma":[0.0007995893,0.001423698,0.002131571,0.001423253,0.001161317,0.00108461,0.001895361,0.002084098,0.006025595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004583925,"about_ca_system_score_gemma":0.0006008713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535601,"about_ca_topic_score_gemma":0.0001312087,"domain_scores_codex":[0.9915828,0.0005731668,0.001623335,0.001677764,0.002514235,0.002028672],"domain_scores_gemma":[0.9941626,0.00107994,0.001454288,0.002189533,0.0003605207,0.0007531103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003400328,0.0008433457,0.00001405968,0.002907813,0.001331716,0.000179849,0.001938281,0.0005486182,0.01087425,0.8539362,0.1184257,0.008660175],"study_design_scores_gemma":[0.005008477,0.00324601,0.0006672399,0.0145545,0.004081444,0.00009627479,0.003494423,0.4259358,0.4187704,0.00925504,0.1105769,0.004313537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934522,0.004311285,0.0003603085,0.001475886,0.002232135,0.0003484921,0.001489145,0.0003128097,0.05494788],"genre_scores_gemma":[0.9870911,0.005065993,0.0004394869,0.00107186,0.002508872,0.0009938681,0.001900616,0.0005261374,0.0004021311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8446811,"threshold_uncertainty_score":0.9989656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464556729640075,"score_gpt":0.2990421341186153,"score_spread":0.2643965668222146,"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."}}