{"id":"W4381248276","doi":"10.1103/physrevc.107.064311","title":"Experimental study of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">S</mml:mi><mml:mprescripts/><mml:none/><mml:mn>38</mml:mn></mml:mmultiscripts></mml:math> excited level scheme","year":2023,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Lawrence Berkeley National Laboratory; Argonne National Laboratory; U.S. Department of Energy; Laboratory Directed Research and Development; Lawrence Livermore National Laboratory; Nuclear Physics; Office of Science","keywords":"Physics; Yrast; Energy (signal processing); Machine learning; Neutron; Algorithm; Atomic physics; Nuclear physics; Computer science; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001260025,0.001045267,0.0008545176,0.0002208823,0.001725778,0.0007056349,0.002402183,0.0004568655,0.003555067],"category_scores_gemma":[0.0005597847,0.001305779,0.001993966,0.001571256,0.001270156,0.001116267,0.004159749,0.001886639,0.004036881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172305,"about_ca_system_score_gemma":0.0006497574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756759,"about_ca_topic_score_gemma":0.00009865436,"domain_scores_codex":[0.9911834,0.000682248,0.001698214,0.001657932,0.002650031,0.002128197],"domain_scores_gemma":[0.994162,0.0007690499,0.001452456,0.002650141,0.0002736289,0.000692764],"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":[0.000370517,0.002776393,0.00003732034,0.001920332,0.002363968,0.0001898926,0.005103538,0.0001606053,0.02645259,0.8860958,0.07117154,0.003357491],"study_design_scores_gemma":[0.006201409,0.004144797,0.001341786,0.00777192,0.002885238,0.0001087589,0.01690016,0.2955441,0.624088,0.002156713,0.0352622,0.003594954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681241,0.003343282,0.0001493182,0.0006384802,0.001630681,0.0003706851,0.0008680191,0.000200395,0.02467504],"genre_scores_gemma":[0.9922569,0.001916845,0.0004300242,0.0005327961,0.00183068,0.001519239,0.0005305329,0.0004984679,0.0004845196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8839391,"threshold_uncertainty_score":0.9995738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04758341240614775,"score_gpt":0.3116350159535201,"score_spread":0.2640516035473723,"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."}}