{"id":"W4402584813","doi":"10.1103/physrevc.110.034321","title":"Investigating the effects of precise mass measurements of Ru and Pd isotopes on machine learning mass modeling","year":2024,"lang":"en","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Lawrence Livermore National Laboratory; Nuclear Physics; Los Alamos National Laboratory; National Nuclear Security Administration; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Atomic mass; Nuclear physics; Mass spectrometry; Physics; Isotope","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006246718,0.0007175144,0.0004447925,0.0003185327,0.0005111342,0.0009177497,0.0009349929,0.0008891447,0.0006738587],"category_scores_gemma":[0.03274651,0.0004432254,0.0003251713,0.0004349909,0.001019982,0.002461065,0.0009312761,0.001774838,0.0001258909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138981,"about_ca_system_score_gemma":0.000955654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009219447,"about_ca_topic_score_gemma":0.01150083,"domain_scores_codex":[0.998711,0.0007033717,0.00006231038,0.0002195602,0.0002468203,0.00005699139],"domain_scores_gemma":[0.9804274,0.01560063,0.00120237,0.001788806,0.0008386794,0.0001419245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002411544,0.00009470584,0.01486797,0.00009626552,0.0001101838,0.00005697193,0.0001177066,0.9167012,0.008341943,0.01469976,0.0005910649,0.04408101],"study_design_scores_gemma":[0.00001398908,0.00005969914,0.002677245,0.00001315429,0.00001757351,0.00002190427,0.00002607831,0.979555,0.009041793,0.007914606,0.000636881,0.00002211029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6750819,0.001470539,0.3130634,0.002821821,0.0001270873,0.00005795731,0.0003604544,0.000807078,0.00620984],"genre_scores_gemma":[0.9504175,0.0002793687,0.04849039,0.0001651441,0.00003034355,0.00002012973,0.0001465516,0.00007211937,0.0003783965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009219447,"threshold_uncertainty_score":0.03303617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121388284383547,"score_gpt":0.3476889972130309,"score_spread":0.3064751143691954,"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."}}