{"id":"W2588873371","doi":"10.1103/physrevc.88.045501","title":"High-precision branching-ratio measurement for the superallowed<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mi>β</mml:mi><mml:mo>+</mml:mo></mml:msup></mml:math>emitter<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msup><mml:mrow/><mml:mn>74</mml:mn></mml:msup></mml:math>Rb","year":2013,"lang":"lv","type":"article","venue":"Physical Review C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; TRIUMF; Simon Fraser University; University of Guelph","funders":"","keywords":"Physics; Branching fraction; Nuclear physics; Electron capture; Electron; Fermi Gamma-ray Space Telescope; Branching (polymer chemistry); Isotope; Scintillator; Atomic physics; Detector; Optics; Chemistry","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003485485,0.00274328,0.001719606,0.0004752081,0.003640861,0.003416848,0.00511927,0.00202185,0.001622549],"category_scores_gemma":[0.001362356,0.003311807,0.005389771,0.001835424,0.002201031,0.003388728,0.004363866,0.004510624,0.01147133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312292,"about_ca_system_score_gemma":0.002532985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352305,"about_ca_topic_score_gemma":0.0003366326,"domain_scores_codex":[0.9796659,0.001009126,0.004038413,0.004170362,0.006333831,0.004782378],"domain_scores_gemma":[0.9842233,0.0040237,0.003376815,0.005407671,0.0009087899,0.002059718],"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":[0.001163789,0.002138057,0.00001717597,0.004858084,0.00309273,0.0004181667,0.001607102,0.001436124,0.008415977,0.955924,0.009214943,0.01171383],"study_design_scores_gemma":[0.00348,0.002570376,0.000132387,0.005497452,0.00359637,0.0004608773,0.00107952,0.8805004,0.07637852,0.001692205,0.02161058,0.003001291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735708,0.005264161,0.003462492,0.003226903,0.003113308,0.0007823937,0.001670097,0.000494143,0.008415679],"genre_scores_gemma":[0.9708662,0.005868059,0.00197857,0.002066393,0.007322629,0.007053524,0.003049433,0.001451312,0.0003438559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9542318,"threshold_uncertainty_score":0.9992901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652590163374701,"score_gpt":0.2739146831837549,"score_spread":0.2473887815500079,"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."}}