{"id":"W3093408401","doi":"10.1103/physrevc.102.054318","title":"Structure of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Mg</mml:mi><mml:mprescripts/><mml:none/><mml:mn>30</mml:mn></mml:mmultiscripts></mml:math> explored via in-beam <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>γ</mml:mi></mml:math>-ray spectroscopy","year":2020,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Lawrence Berkeley National Laboratory; RIKEN; Science and Technology Facilities Council; Nuclear Physics; Joint Institute for Computational Fundamental Science; U.S. Department of Energy; Japan Society for the Promotion of Science; Office of Science; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Nucleon; Physics; Excited state; Neutron; Isotope; Atomic physics; Algorithm; Nuclear physics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001763205,0.002714167,0.001649745,0.002894842,0.001732677,0.004833782,0.004805509,0.002285478,0.7500622],"category_scores_gemma":[0.005352375,0.001815821,0.001078307,0.005569059,0.0009873681,0.003794771,0.002394776,0.003332645,0.6080141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289959,"about_ca_system_score_gemma":0.002272957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246987,"about_ca_topic_score_gemma":0.0100294,"domain_scores_codex":[0.9990293,0.0001281204,0.0001062293,0.0002223319,0.0003804717,0.0001335709],"domain_scores_gemma":[0.997227,0.0007007858,0.0002580219,0.0007887498,0.0007289417,0.0002965438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002254298,0.00009408846,0.0002490773,0.000500043,0.00002122433,0.00008110987,0.00009859342,0.0004157786,0.005800524,0.006494714,0.9500121,0.03600725],"study_design_scores_gemma":[0.00008008392,0.0000481919,0.0006808882,0.000089605,0.00001238857,0.0001051384,0.00004760076,0.001274921,0.005424131,0.003842104,0.9883512,0.00004380322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001894819,0.0004561107,0.09337244,0.00277431,0.001614724,0.0009912513,0.4673889,0.1489843,0.2825232],"genre_scores_gemma":[0.00989205,0.0009724038,0.04711168,0.001744957,0.0002872722,0.001369386,0.5626987,0.09856877,0.2773548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7500622,"threshold_uncertainty_score":0.3565059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617917315273614,"score_gpt":0.2782042592187115,"score_spread":0.2520250860659753,"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."}}