{"id":"W2892523610","doi":"10.1103/physrevlett.121.132501","title":"Extraction of the Landau-Migdal Parameter from the Gamow-Teller Giant Resonance in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Sn</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>132</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Physics; Sensitivity (control systems); Energy (signal processing); Resonance (particle physics); Neutron; Nuclear physics; Nuclear magnetic resonance; Atomic physics; 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001816616,0.001079595,0.000598649,0.0002608284,0.00161544,0.001187375,0.00293252,0.0008560219,0.1649942],"category_scores_gemma":[0.001475939,0.001590033,0.0026607,0.001309731,0.00307196,0.001655231,0.002802674,0.002713919,0.002410637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688828,"about_ca_system_score_gemma":0.001023907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004980093,"about_ca_topic_score_gemma":0.001139973,"domain_scores_codex":[0.9892895,0.001029779,0.00203199,0.002048733,0.002966092,0.002633964],"domain_scores_gemma":[0.991092,0.002484297,0.002210089,0.003180113,0.0002366897,0.000796861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001258361,0.0008340693,0.00004979219,0.001881925,0.002294522,0.0004403147,0.003248801,0.0005171916,0.01802527,0.4145917,0.5474728,0.009385213],"study_design_scores_gemma":[0.002343761,0.001164065,0.00127019,0.005510625,0.001850449,0.0001694877,0.001585474,0.07764316,0.8720734,0.0001688274,0.03428659,0.001934023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7418886,0.005790307,0.0007493467,0.004823572,0.003147512,0.0001501682,0.0009087113,0.0001458641,0.2423959],"genre_scores_gemma":[0.9825606,0.004382743,0.001261053,0.004416922,0.004062553,0.001484209,0.0008851414,0.0007000397,0.0002467326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8540481,"threshold_uncertainty_score":0.9998495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566463269592949,"score_gpt":0.2755483756325688,"score_spread":0.2498837429366393,"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."}}