{"id":"W4386492628","doi":"10.1103/physrevlett.131.103002","title":"Measurement of Hyperfine Structure and the Zemach Radius in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:msup><mml:mrow><mml:mi>Li</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> Using Optical Ramsey Technique","year":2023,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of New Brunswick","funders":"K. C. Wong Education Foundation; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"RADIUS; Computer science; Physics","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003789567,0.002205593,0.001105359,0.0009024662,0.002408331,0.00229841,0.004535955,0.002812405,0.3756614],"category_scores_gemma":[0.002507717,0.003948275,0.004630101,0.002880107,0.004566811,0.002493005,0.004543424,0.004593757,0.001604637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005635562,"about_ca_system_score_gemma":0.002818817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016705,"about_ca_topic_score_gemma":0.0009340566,"domain_scores_codex":[0.980145,0.001559009,0.004074409,0.003867358,0.005385413,0.004968857],"domain_scores_gemma":[0.9863499,0.002390158,0.004064269,0.004599496,0.0004478948,0.002148232],"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":[0.002653728,0.0008786931,0.00003451796,0.005003904,0.004606639,0.002104574,0.002984755,0.003657919,0.0302127,0.540213,0.4006772,0.00697242],"study_design_scores_gemma":[0.004397341,0.001694562,0.0001826448,0.005260528,0.004650719,0.001433534,0.002018662,0.09069946,0.879398,0.0001533805,0.006742599,0.003368502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5310693,0.007145941,0.00516678,0.003370148,0.004514509,0.0002585448,0.001168677,0.0004787375,0.4468273],"genre_scores_gemma":[0.9747102,0.00416782,0.003679905,0.004919559,0.004462882,0.00323006,0.002793263,0.00179832,0.0002380015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8491853,"threshold_uncertainty_score":0.9991727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169372664179747,"score_gpt":0.2534941959323649,"score_spread":0.2318004692905674,"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."}}