{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003706927,0.0006418701,0.0007720308,0.0005594179,0.001075858,0.0008196871,0.001331314,0.0009207478,0.006121548],"category_scores_gemma":[0.0007864918,0.000342236,0.0007137402,0.0009023061,0.0005627337,0.0006779375,0.0004772041,0.0007272287,0.0005621543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324634,"about_ca_system_score_gemma":0.0009691673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239652,"about_ca_topic_score_gemma":0.01348021,"domain_scores_codex":[0.999828,0.00003901166,0.000004338479,0.00001309212,0.00006467247,0.000050842],"domain_scores_gemma":[0.9996001,0.0001605025,0.000053859,0.00006125882,0.00008524929,0.00003905049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002198502,0.0001711861,0.003669457,0.0006092222,0.0001154145,0.000801118,0.0003207428,0.8750095,0.009982339,0.09460932,0.003846374,0.01064539],"study_design_scores_gemma":[0.00002991139,0.00002933559,0.001177979,0.00001285411,0.00001637237,0.00003374999,0.00005484009,0.9901379,0.003918326,0.00397417,0.0006019658,0.00001264866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687839,0.0005337817,0.04631417,0.0003907931,0.00008190207,0.0001203842,0.001108864,0.0009232403,0.08174296],"genre_scores_gemma":[0.9869505,0.0001902892,0.007857226,0.00008355569,0.00001982106,0.00007407787,0.0004138491,0.0002253769,0.004185384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239652,"threshold_uncertainty_score":0.02464873,"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."}}