{"id":"W4394943424","doi":"10.1103/physrevlett.132.163001","title":"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:mrow><mml:mi>P</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>J</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:math> to <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>J</mml:mi><mml:mo>=</mml:mo><mml:mn>0</mml:mn></mml:math> Fine Structure of Atomic Helium Using Frequency-Offset Separated Oscillatory Fields","year":2024,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Computer science; Artificial intelligence; Algorithm","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":[0.005942013,0.00231676,0.001474715,0.003309155,0.002653966,0.004592701,0.003028376,0.002919998,0.02595507],"category_scores_gemma":[0.01320324,0.001426736,0.001524647,0.002643489,0.001157948,0.002436815,0.002365801,0.002927642,0.02614674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320176,"about_ca_system_score_gemma":0.004481536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022477,"about_ca_topic_score_gemma":0.0211575,"domain_scores_codex":[0.9892756,0.0008144223,0.0003694862,0.002721556,0.006239295,0.0005796716],"domain_scores_gemma":[0.9915327,0.001310006,0.0005808025,0.00165758,0.00472106,0.0001978112],"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":[0.001543742,0.0006208119,0.0188096,0.001870364,0.0004710105,0.0004840743,0.001728922,0.005010861,0.5359653,0.01406074,0.142,0.2774345],"study_design_scores_gemma":[0.0001126183,0.0006255925,0.0241951,0.0003792507,0.000384386,0.0003727121,0.0004063338,0.01429997,0.741454,0.002549578,0.2149169,0.0003035832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052914,0.006634571,0.5669822,0.003551796,0.007758905,0.001277319,0.03152007,0.03169674,0.245287],"genre_scores_gemma":[0.4483021,0.004119092,0.3183273,0.003567955,0.0008123172,0.002194912,0.02580206,0.008408081,0.1884662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02595507,"threshold_uncertainty_score":0.08682841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229391423429773,"score_gpt":0.2683740586154866,"score_spread":0.2454349162725093,"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."}}