{"id":"W4385835560","doi":"10.1103/physrevd.108.033002","title":"How to measure the reactor neutrino flux below the inverse beta decay threshold with<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>CE</mml:mi><mml:mi>ν</mml:mi><mml:mi>NS</mml:mi></mml:mrow></mml:math>","year":2023,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation; National Natural Science Foundation of China; United States-Israel Binational Science Foundation; U.S. Department of Energy","keywords":"Neutrino; Physics; Inverse; Flux (metallurgy); Measure (data warehouse); Neutron; Nuclear physics; Nucleus; Energy (signal processing); Beta decay; Isotope; BETA (programming language); Particle physics; Atomic physics; Chemistry; Quantum mechanics; Computer science; Mathematics; Data mining; Geometry","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002038198,0.00125358,0.0009617641,0.0001896584,0.001460809,0.001312479,0.003507572,0.0005455541,0.005408465],"category_scores_gemma":[0.0004971707,0.001424358,0.003352876,0.00283218,0.001473527,0.001225583,0.002794362,0.003048076,0.008238557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000321193,"about_ca_system_score_gemma":0.001430902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004195757,"about_ca_topic_score_gemma":0.0002018153,"domain_scores_codex":[0.989127,0.0008675012,0.001551304,0.002151876,0.003628047,0.002674267],"domain_scores_gemma":[0.9901192,0.002541901,0.001596325,0.003960225,0.0003698565,0.001412504],"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":[0.0003217588,0.0007073805,0.00003205051,0.003920639,0.001343331,0.0002433688,0.0005554349,0.000173001,0.004783637,0.8458565,0.1311067,0.01095617],"study_design_scores_gemma":[0.001734064,0.002116152,0.0002565185,0.01354583,0.004675125,0.0001304893,0.0006472837,0.01838571,0.8787701,0.002992478,0.07407214,0.00267416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551653,0.007484213,0.0001480604,0.00876751,0.001049132,0.0004513643,0.0005199314,0.0002318779,0.1261826],"genre_scores_gemma":[0.9732285,0.01379921,0.0001326307,0.003080801,0.004836696,0.003055828,0.0009295692,0.0006712618,0.0002655743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8739864,"threshold_uncertainty_score":0.9998391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873664026066424,"score_gpt":0.3232878312397984,"score_spread":0.2945511909791341,"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."}}