{"id":"W1966634006","doi":"10.1016/j.nimb.2007.01.254","title":"Isobar separation at very low energy for AMS","year":2007,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; IONICS Mass Spectrometry (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; University of Toronto","keywords":"Isobar; Ion; Accelerator mass spectrometry; Chemistry; Atomic physics; Nuclear physics; Tandem accelerator; Ionic bonding; Mass spectrometry; Physics; Nucleon","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007612349,0.0001456274,0.0001949362,0.0001588016,0.0004568223,0.0001725574,0.00007988366,0.00009647669,0.0006437956],"category_scores_gemma":[0.00002583833,0.000128417,0.00002906746,0.0002594161,0.0001229105,0.0002593414,0.0001073356,0.0001982517,0.000001936637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997497,"about_ca_system_score_gemma":0.00001620662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000291734,"about_ca_topic_score_gemma":0.00005442183,"domain_scores_codex":[0.9988044,0.00005900536,0.0002798472,0.000359524,0.000179627,0.0003176098],"domain_scores_gemma":[0.9993075,0.0001779232,0.0001033591,0.0001974018,0.000117813,0.00009607575],"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":[0.0003358886,0.0001524543,0.0002275484,0.00009437226,0.00003306323,6.418496e-7,0.0001182007,0.000001871517,0.9161376,0.0176481,0.0002375689,0.06501272],"study_design_scores_gemma":[0.0005488854,0.0001454909,0.0003783577,0.00009595784,0.00001093918,0.00002575223,0.0003728678,0.0005305097,0.8794356,0.006396924,0.1118824,0.0001762728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799721,0.00001161698,0.01247161,0.00007064776,0.0001496069,0.0002196871,0.00004514401,0.00006430025,0.006995281],"genre_scores_gemma":[0.968678,0.0002498924,0.02931251,0.00004077419,0.0003692195,0.0001645822,0.00005519771,0.00003815378,0.001091696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116448,"threshold_uncertainty_score":0.7049111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891787733033646,"score_gpt":0.4269043307155128,"score_spread":0.3879864533851763,"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."}}