{"id":"W4409173350","doi":"10.1016/j.nima.2025.170433","title":"Phase-Imaging Ion-Cyclotron-Resonance mass spectrometry with the Canadian Penning Trap at CARIBU","year":2025,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Manitoba","funders":"Argonne National Laboratory; Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Penning trap; Fourier transform ion cyclotron resonance; Ion cyclotron resonance; Ion trap; Mass spectrometry; Trap (plumbing); Cyclotron; Ion; Cyclotron resonance; Phase (matter); Atomic physics; Physics; Chemistry; Nuclear magnetic resonance; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001097928,0.0003116472,0.0003551127,0.0004245888,0.00188399,0.0005568783,0.0002667329,0.00007640172,0.0001172958],"category_scores_gemma":[0.00001366744,0.0002536033,0.00008474842,0.001594675,0.0003031949,0.0002373589,0.0001951027,0.0009454488,0.000003117279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115366,"about_ca_system_score_gemma":0.0001667653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529426,"about_ca_topic_score_gemma":0.003143611,"domain_scores_codex":[0.9973467,0.0003964435,0.0003054977,0.0006327027,0.0004316834,0.0008869604],"domain_scores_gemma":[0.9990251,0.0001805808,0.0001360412,0.0003029324,0.0001158706,0.0002394431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002019834,0.0009302686,0.04659947,0.00004864984,0.0007799976,0.000006778649,0.00217761,0.00002961224,0.4287252,0.03748363,0.001180624,0.4818362],"study_design_scores_gemma":[0.03985576,0.0045557,0.2177922,0.00162021,0.0007677684,0.00001950035,0.03299405,0.04819759,0.2935849,0.1540558,0.2004537,0.006102857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988942,0.00009652308,0.001368522,0.0006777849,0.0001712796,0.0006833002,0.00004409536,0.00003847937,0.007978035],"genre_scores_gemma":[0.9952313,0.00005762197,0.004067358,0.0001243238,0.0001487423,0.0001010509,0.00001843823,0.00004944205,0.0002017066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4757334,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862799057833105,"score_gpt":0.3658948111711289,"score_spread":0.3372668205927978,"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."}}