{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002849422,0.0002808245,0.0002062362,0.0004252175,0.000381701,0.0003551563,0.0006398643,0.0005268413,0.004266486],"category_scores_gemma":[0.0004170471,0.0002495021,0.0001428956,0.0003783539,0.0005070884,0.0006350675,0.0004779431,0.0005640104,0.0007777965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958457,"about_ca_system_score_gemma":0.000277797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625946,"about_ca_topic_score_gemma":0.002158395,"domain_scores_codex":[0.9998335,0.00002367386,0.000005190379,0.00005271158,0.00004894035,0.0000359421],"domain_scores_gemma":[0.9998235,0.00006053776,0.00005497306,0.00002509592,0.00001882263,0.00001713554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002084964,0.00003160061,0.001779651,0.00007407121,0.00001326812,0.00008455077,0.000179637,0.001388864,0.9873089,0.003431549,0.0003769637,0.005122437],"study_design_scores_gemma":[0.00002028569,0.0001984131,0.008619635,0.00001233037,0.00001446772,0.00009522091,0.0001595532,0.007253195,0.9801971,0.0009931092,0.002405828,0.00003082521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743838,0.0005083247,0.01560878,0.0001664157,0.0000172583,0.0000260574,0.0003346441,0.0004533744,0.008501457],"genre_scores_gemma":[0.9891894,0.0002583102,0.008248217,0.00004436831,0.000005021357,0.00003386474,0.0001525978,0.0000468604,0.002021408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004266486,"threshold_uncertainty_score":0.01427287,"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."}}