{"id":"W2116215794","doi":"10.1017/s0033822200045264","title":"The Low-Energy Isobar Separator for Anions: Progress Report","year":2010,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); University of Toronto","funders":"Chinese Academy of Sciences","keywords":"Isobar; Accelerator mass spectrometry; Chemistry; Ion; Separator (oil production); Quadrupole; Ion beam; Analytical Chemistry (journal); Beam (structure); Nuclear physics; Mass spectrometry; Atomic physics; Physics; Nucleon","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":[],"consensus_categories":[],"category_scores_codex":[0.0001606401,0.0001238734,0.0001182259,0.00002105113,0.0002448865,0.00007253015,0.0003035716,0.0001254215,0.0002023491],"category_scores_gemma":[0.00005761965,0.00009209214,0.0001014952,0.0001294248,0.00009394549,0.00003118726,0.0000332468,0.0001788977,0.000002633921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003385479,"about_ca_system_score_gemma":0.00005254574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003077999,"about_ca_topic_score_gemma":0.00002612182,"domain_scores_codex":[0.9991022,0.000004132165,0.0002325518,0.0002695632,0.0001353109,0.0002562158],"domain_scores_gemma":[0.9988939,0.00007899608,0.0001301645,0.0007581468,0.00005917501,0.00007959412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003328426,0.000190717,0.002070663,0.00006103608,0.00007151834,0.00002050097,0.00002272102,4.754995e-7,0.3448511,0.6095484,0.02511693,0.01801263],"study_design_scores_gemma":[0.0001371796,0.00001679702,0.00008950981,0.000008597089,0.00001693008,0.00009201417,0.00001053791,0.0009763697,0.2343605,0.01081816,0.7533242,0.0001492157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6640368,0.002194215,0.003337367,0.007854132,0.0008785644,0.001115713,0.0001399996,0.002018467,0.3184248],"genre_scores_gemma":[0.9899335,0.00006177213,0.003562966,0.00004895455,0.0005781324,0.001173193,0.00005159654,0.00003421138,0.004555695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7282072,"threshold_uncertainty_score":0.3755408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005668550070693952,"score_gpt":0.2653444424027959,"score_spread":0.259675892332102,"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."}}