{"id":"W2041758268","doi":"10.1103/physrevlett.101.012502","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msubsup><mml:mn>0</mml:mn><mml:mi>gs</mml:mi><mml:mo>+</mml:mo></mml:msubsup><mml:mo>→</mml:mo><mml:msubsup><mml:mn>2</mml:mn><mml:mn>1</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:math>Transition Strengths in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>106</mml:mn></mml:mmultiscripts></mml:math>and<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>108</mml:mn></mml:mmultiscripts></mml:math>","year":2008,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Science and Technology Facilities Council","keywords":"Physics; Coulomb excitation; Excitation; Atomic physics; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002533794,0.004404136,0.001699407,0.002835733,0.001797162,0.009968895,0.005268074,0.004073936,0.5750903],"category_scores_gemma":[0.008768543,0.002647057,0.002857948,0.003394288,0.001301283,0.009370879,0.004653659,0.005763721,0.6909928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003713835,"about_ca_system_score_gemma":0.003094264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214547,"about_ca_topic_score_gemma":0.02190951,"domain_scores_codex":[0.9982229,0.000342839,0.000195771,0.000261806,0.0007491187,0.0002275755],"domain_scores_gemma":[0.9960614,0.0009331095,0.0001578336,0.001159192,0.001237175,0.0004513243],"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":[0.0001242238,0.00007244734,0.0001554943,0.0003121047,0.00001915808,0.0001168767,0.0001733359,0.0005740777,0.002534766,0.01147712,0.9436561,0.04078438],"study_design_scores_gemma":[0.00004009521,0.00001788607,0.000252695,0.00008785992,0.00001320731,0.0001101566,0.0001010586,0.001304061,0.003345068,0.0047279,0.9899492,0.00005081069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001205848,0.0003362212,0.1962328,0.003858932,0.001967648,0.001153078,0.0862964,0.2460499,0.4628993],"genre_scores_gemma":[0.01171286,0.001570587,0.08460472,0.003986551,0.000535018,0.001392912,0.1464444,0.1359328,0.61382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5750903,"threshold_uncertainty_score":0.606082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194619609235375,"score_gpt":0.2601757385611229,"score_spread":0.2382295424687692,"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."}}