{"id":"W4362470945","doi":"10.1103/physrevc.107.l032801","title":"Determination of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">B</mml:mi><mml:mprescripts/><mml:none/><mml:mn>8</mml:mn></mml:mmultiscripts></mml:math> neutrino energy spectrum using trapped ions","year":2023,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Lawrence Livermore National Laboratory; Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Neutrino; Physics; Energy (signal processing); Ion; Energy distribution; Spectral line; Analytical Chemistry (journal); Atomic physics; Nuclear physics; Chemistry; Quantum mechanics","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":[0.000711959,0.0004516586,0.0003827954,0.001102597,0.0002735933,0.0009757561,0.0006689669,0.0005473979,0.005447128],"category_scores_gemma":[0.000827205,0.0002848092,0.0003350379,0.0009213568,0.0002395377,0.0005010632,0.0002439033,0.0005042708,0.005951958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004609676,"about_ca_system_score_gemma":0.0005290317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522339,"about_ca_topic_score_gemma":0.002025943,"domain_scores_codex":[0.9997216,0.00005308321,0.00001317942,0.0001000448,0.00009197191,0.00001998529],"domain_scores_gemma":[0.999756,0.000070933,0.00004768083,0.00003718862,0.0000783473,0.000009849025],"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":[0.0004890602,0.0001043718,0.01012894,0.002013795,0.0001776505,0.000465969,0.0001763325,0.002402956,0.651603,0.06038056,0.02926819,0.2427891],"study_design_scores_gemma":[0.00005514063,0.00027668,0.01684225,0.0001239541,0.00009793883,0.0008014961,0.0001430164,0.00638294,0.6853639,0.01003416,0.2797986,0.00007993564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3487026,0.06259459,0.348314,0.001804326,0.001194274,0.0004460477,0.01655384,0.003674066,0.2167164],"genre_scores_gemma":[0.7047706,0.0518174,0.1767485,0.0005609285,0.0001657305,0.0004337369,0.01302271,0.000925586,0.05155483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005447128,"threshold_uncertainty_score":0.01822245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345059140448532,"score_gpt":0.2941792880332515,"score_spread":0.2607286966287662,"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."}}