{"id":"W3010436374","doi":"10.1002/jms.4511","title":"A simple method for rapid calibration of faraday and ion‐counting detectors on movable multicollector mass spectrometers","year":2020,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Detector; Calibration; Chemistry; Faraday cup; Dead time; Faraday cage; Mass spectrometry; Optics; Analytical Chemistry (journal); Ion; Electron multiplier; Photomultiplier; Computational physics; Physics; Chromatography; Magnetic field; Ion beam","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":[0.003546381,0.00215655,0.001421151,0.004188846,0.001100974,0.0008957766,0.002680714,0.002316069,0.009467478],"category_scores_gemma":[0.004352072,0.001404866,0.0007017075,0.00162163,0.0009409954,0.001586503,0.00188926,0.002788303,0.006417297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007725941,"about_ca_system_score_gemma":0.001343444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005625496,"about_ca_topic_score_gemma":0.001709544,"domain_scores_codex":[0.9940568,0.0006384019,0.0002953283,0.001028414,0.003799903,0.0001812532],"domain_scores_gemma":[0.9974011,0.0006580687,0.0002486093,0.0005205747,0.00103592,0.0001356413],"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":[0.0001729514,0.000192668,0.001032542,0.0005907504,0.00007806227,0.0002204286,0.0001128825,0.0004436016,0.8258305,0.003812017,0.007134932,0.1603787],"study_design_scores_gemma":[0.0001183157,0.0006656555,0.003443334,0.000120255,0.00009266497,0.002255178,0.00006973047,0.01122729,0.8312206,0.003399017,0.1471656,0.0002223439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008434094,0.001678888,0.980505,0.0002388092,0.0009357921,0.000874222,0.000490375,0.004164317,0.002678518],"genre_scores_gemma":[0.01961234,0.0009578681,0.9695711,0.0002586317,0.0001113005,0.001223086,0.0005889963,0.0004029544,0.007273717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009467478,"threshold_uncertainty_score":0.03167188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335881818979884,"score_gpt":0.2520299805448313,"score_spread":0.2386711623550324,"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."}}