{"id":"W2316929856","doi":"10.1103/physrevlett.116.122502","title":"Direct Lifetime Measurements of the Excited States in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Ni</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>72</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; TRIUMF","funders":"U.S. Department of Energy; Science and Technology Facilities Council; Office of Science; National Science Foundation","keywords":"Excited state; Physics; Computer science; Atomic physics","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.002369332,0.001348069,0.0007683265,0.0004389632,0.001540329,0.001193281,0.003409566,0.0008936243,0.1901659],"category_scores_gemma":[0.001830438,0.002015893,0.003143128,0.001667661,0.002838871,0.001947983,0.003596539,0.002257758,0.002909126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004006377,"about_ca_system_score_gemma":0.00120452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970508,"about_ca_topic_score_gemma":0.0006215405,"domain_scores_codex":[0.9865143,0.001177814,0.002479848,0.002370307,0.003998157,0.003459593],"domain_scores_gemma":[0.9903772,0.002045848,0.002635347,0.003408305,0.0003246544,0.001208607],"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":[0.001310251,0.001210235,0.00009401159,0.004296053,0.004617162,0.0005423042,0.002645118,0.0009307477,0.03196684,0.3347559,0.6093396,0.008291786],"study_design_scores_gemma":[0.002940077,0.001290619,0.0006429487,0.008057108,0.002367062,0.0001258503,0.0009922112,0.03609959,0.9297378,0.0001064091,0.01532035,0.002319953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.58934,0.006398209,0.0007180278,0.004488654,0.003353473,0.0001973079,0.001222778,0.0002519552,0.3940296],"genre_scores_gemma":[0.9834844,0.004902834,0.0008182159,0.003780304,0.002745035,0.001932385,0.00100619,0.0009510482,0.0003795325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.897771,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773687749471209,"score_gpt":0.2699933498497074,"score_spread":0.2422564723549953,"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."}}