{"id":"W3081961069","doi":"10.1103/physrevc.102.024312","title":"Laser-assisted decay spectroscopy for the ground states of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Au</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>180</mml:mn><mml:mo>,</mml:mo><mml:mn>182</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>","year":2020,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Horizon 2020; Seventh Framework Programme; Fonds Wetenschappelijk Onderzoek; Belgian Federal Science Policy Office; Agentúra na Podporu Výskumu a Vývoja; Bundesministerium für Bildung und Forschung; Russian Foundation for Basic Research; Science and Technology Facilities Council; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; European Commission","keywords":"Physics; Hyperfine structure; Atomic physics; Ground state; Spectroscopy; Branching fraction","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":[],"consensus_categories":[],"category_scores_codex":[0.0004039865,0.0004716505,0.0002506141,0.0009084222,0.0008082677,0.0004591614,0.001082123,0.0006471138,0.007714722],"category_scores_gemma":[0.0005401894,0.0002811173,0.0002701768,0.0006900504,0.0003041861,0.000479039,0.0005059598,0.0007858468,0.001245038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015808,"about_ca_system_score_gemma":0.0005857481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946676,"about_ca_topic_score_gemma":0.003155734,"domain_scores_codex":[0.9998013,0.00002801321,0.00000497925,0.00006871081,0.00004772248,0.00004922984],"domain_scores_gemma":[0.9997398,0.00006086653,0.00004347053,0.0000433632,0.00008625152,0.00002615244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003439701,0.00005217451,0.002142398,0.0001171644,0.0000183705,0.0001646882,0.0003309953,0.0002948581,0.9834057,0.003394332,0.001118229,0.008617111],"study_design_scores_gemma":[0.00003867253,0.000447344,0.00699973,0.00002823394,0.00002713906,0.0003090752,0.0001632872,0.004982088,0.9751759,0.0008453752,0.01095824,0.00002490292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423766,0.000810759,0.03999651,0.0001763646,0.00003909297,0.0000684417,0.002002386,0.0004608094,0.01406902],"genre_scores_gemma":[0.9476504,0.0008098361,0.03141372,0.00009480317,0.00001631919,0.0001338045,0.002812749,0.000339646,0.01672876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007714722,"threshold_uncertainty_score":0.02580833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258358912241142,"score_gpt":0.2920253162021181,"score_spread":0.2594417270797067,"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."}}