{"id":"W2582517960","doi":"10.1103/physrevc.95.015805","title":"Decay branching ratios of excited<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":2017,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Nuclear Physics; Lawrence Berkeley National Laboratory; National Nuclear Security Administration; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Physics; Atomic physics; Energy (signal processing); Coulomb barrier; Nuclear reaction; Branching fraction; Coulomb; Nuclear physics; Electron; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001452387,0.001185855,0.001077851,0.0002245057,0.00272618,0.001468589,0.00294078,0.000611891,0.002848336],"category_scores_gemma":[0.001190103,0.001631169,0.002522853,0.0006670741,0.001871092,0.00205088,0.003274571,0.002273818,0.003776395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004035155,"about_ca_system_score_gemma":0.0007756989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952303,"about_ca_topic_score_gemma":0.0002126213,"domain_scores_codex":[0.9908486,0.0005919649,0.001893993,0.001880699,0.002468666,0.002316074],"domain_scores_gemma":[0.991546,0.001065842,0.002427579,0.003615041,0.0004042579,0.0009412486],"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":[0.0003456197,0.0009777849,0.00003632261,0.003248898,0.001943961,0.0001668387,0.002068444,0.0001886352,0.0160345,0.8974962,0.06052106,0.0169718],"study_design_scores_gemma":[0.005477685,0.00256813,0.0007856173,0.01569069,0.004254025,0.0001321175,0.002285118,0.3239366,0.5303493,0.00868891,0.1012932,0.004538578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156554,0.007817268,0.001158705,0.001346634,0.003045793,0.0003652072,0.001026378,0.0002101047,0.06937454],"genre_scores_gemma":[0.9863613,0.006114143,0.0009753802,0.0006993273,0.003250658,0.0009220276,0.0006350544,0.0005599848,0.0004821817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8888072,"threshold_uncertainty_score":0.999568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337318995955103,"score_gpt":0.3055766149202706,"score_spread":0.2718447153247602,"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."}}