{"id":"W4200288248","doi":"10.1103/physrevlett.127.251801","title":"Towards an Independent Determination of Muon <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>g</mml:mi><mml:mo>−</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:math> from Muonium Spectroscopy","year":2021,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Azrieli Foundation; Israel Science Foundation; European Commission; H2020 Marie Skłodowska-Curie Actions; United States-Israel Binational Science Foundation; Henry and Marilyn Taub Foundation; National Science Foundation","keywords":"Algorithm; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000405484,0.0004521317,0.0003200996,0.0001158978,0.0004098262,0.0004130686,0.0007003391,0.0003419611,0.007765003],"category_scores_gemma":[0.0002353164,0.0007044567,0.001015727,0.0004773639,0.0002827871,0.0006209367,0.0003911652,0.0009290222,0.001025494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002373122,"about_ca_system_score_gemma":0.0002587656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006199928,"about_ca_topic_score_gemma":0.0001881492,"domain_scores_codex":[0.9962933,0.0001729079,0.0009543961,0.0008354145,0.0009479701,0.0007959983],"domain_scores_gemma":[0.997331,0.0004410601,0.0006456959,0.001074948,0.00009367925,0.0004136788],"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":[0.0001031411,0.0003814606,0.00000359737,0.001895437,0.0004753221,0.0001598107,0.0007481062,0.0006764745,0.05345853,0.9221926,0.01488612,0.005019396],"study_design_scores_gemma":[0.0004923719,0.0003522242,0.0001236902,0.002270428,0.001039831,0.0001457149,0.0002654162,0.2900387,0.6926688,0.0001721593,0.01174169,0.000688974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696725,0.002271964,0.00622534,0.001838412,0.001163417,0.00006305951,0.0003897914,0.0001213876,0.01825412],"genre_scores_gemma":[0.9877042,0.003621039,0.002717785,0.002607166,0.001496405,0.0005868566,0.001009695,0.0002168279,0.00003999099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9220204,"threshold_uncertainty_score":0.9997523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525996150746595,"score_gpt":0.2671228867858015,"score_spread":0.2518629252783356,"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."}}