{"id":"W2897090196","doi":"10.1103/physrevlett.121.143002","title":"Ultrahigh-Precision Measurement of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>2</mml:mn></mml:math> Triplet <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>P</mml:mi></mml:math> Fine Structure of Atomic Helium Using Frequency-Offset Separated Oscillatory Fields","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Standards and Technology; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; York University","keywords":"Physics; Offset (computer science); Helium; Algorithm; Atomic physics; Computer science","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":[0.0007874281,0.0004407409,0.0002525373,0.0006331888,0.0005636496,0.0005176029,0.0007701434,0.0007471414,0.004547324],"category_scores_gemma":[0.001219405,0.0002791572,0.0001880628,0.0004576731,0.0007158138,0.001275279,0.0009570819,0.001413652,0.001193331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206649,"about_ca_system_score_gemma":0.000315935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006951791,"about_ca_topic_score_gemma":0.0022519,"domain_scores_codex":[0.9996272,0.00005188253,0.0000117008,0.0001103458,0.0001566165,0.00004224017],"domain_scores_gemma":[0.9994152,0.0002261581,0.0000966235,0.0001452034,0.00007721871,0.00003964812],"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":[0.0003392476,0.0001582606,0.004646695,0.0002914732,0.00007480114,0.000172517,0.0001792565,0.001793273,0.8703756,0.03823929,0.008578517,0.07515106],"study_design_scores_gemma":[0.00007282812,0.0002226467,0.01277591,0.00005364573,0.00004971802,0.0002537001,0.00007656861,0.009692065,0.8970461,0.01588403,0.06375886,0.0001137711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3731826,0.008629793,0.5401747,0.004229547,0.002132254,0.0001482851,0.003648356,0.003057548,0.06479689],"genre_scores_gemma":[0.8781661,0.001430861,0.1117027,0.0006320471,0.0003461696,0.0001087363,0.00105558,0.0001840598,0.006373644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004547324,"threshold_uncertainty_score":0.0152123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204117614603337,"score_gpt":0.2560930232359988,"score_spread":0.2356812617756651,"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."}}