{"id":"W2030441048","doi":"10.1103/physrevc.67.044313","title":"Gamow-Teller strength distributions in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow/><mml:mrow><mml:mn>76</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mi mathvariant=\"normal\">Ge</mml:mi></mml:math>and<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow/><mml:mrow><mml:mn>76</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mi mathvariant=\"normal\">Se</mml:mi></mml:math>from deformed quasiparticle random-phase approximation","year":2003,"lang":"lv","type":"article","venue":"Physical Review C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia y Tecnología; Deutsche Forschungsgemeinschaft; McMaster University","keywords":"Pairing; Quasiparticle; Physics; Residual; Random phase approximation; Atomic physics; Quantum mechanics; Algorithm; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154481,0.00114002,0.001101045,0.002010599,0.001326226,0.002478665,0.003044425,0.00187379,0.0296394],"category_scores_gemma":[0.003963016,0.0005566385,0.001068258,0.001192094,0.002242045,0.003176739,0.001455403,0.002462691,0.003060329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002014045,"about_ca_system_score_gemma":0.00116612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212975,"about_ca_topic_score_gemma":0.005735155,"domain_scores_codex":[0.9992137,0.0002502978,0.00002364811,0.00007713073,0.0002384756,0.0001967199],"domain_scores_gemma":[0.9984325,0.0005831468,0.0001839846,0.0002860847,0.0002572483,0.000257097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001255263,0.00006274424,0.0009831862,0.0001730249,0.00003670174,0.0003505264,0.0001986095,0.03589181,0.003022878,0.9450447,0.008474706,0.005635654],"study_design_scores_gemma":[0.00006452802,0.00003980999,0.00201401,0.00009813783,0.00002653199,0.0003174978,0.0002388443,0.6029503,0.005959517,0.3820499,0.006141868,0.00009906291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3714615,0.001548555,0.2822064,0.005941844,0.000746419,0.0003483578,0.002830158,0.002702906,0.3322139],"genre_scores_gemma":[0.9166392,0.0008520349,0.03284498,0.0009547636,0.0001713592,0.0003264195,0.002592672,0.001414994,0.04420362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0296394,"threshold_uncertainty_score":0.09915364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211581429305336,"score_gpt":0.2731550320003003,"score_spread":0.2519968890697667,"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."}}