{"id":"W3093119944","doi":"10.1016/j.ijms.2020.116454","title":"Coupling a Gaussian input beam to a quadrupole mass filter with round rods","year":2020,"lang":"en","type":"article","venue":"International Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Russian Foundation for Fundamental Investigations","keywords":"Quadrupole; Gaussian; Rod; Chemistry; Quadrupole mass analyzer; Transverse plane; Ion; Filter (signal processing); Beam (structure); Phase space; Probability density function; Phase (matter); Perpendicular; Atomic physics; Computational physics; Physics; Optics; Geometry; Statistics; Mathematics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002085629,0.0002728208,0.0003910293,0.0004350012,0.00007073568,0.0002410517,0.001137678,0.0001097752,0.006778221],"category_scores_gemma":[0.0001262017,0.0002342482,0.0002089157,0.0006339086,0.00004828172,0.0002532574,0.0001034504,0.0006510176,0.00005376531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003900475,"about_ca_system_score_gemma":0.0001292666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186609,"about_ca_topic_score_gemma":0.000003329705,"domain_scores_codex":[0.9975581,0.000009190808,0.0006749121,0.0003468251,0.001064069,0.0003469151],"domain_scores_gemma":[0.9983036,0.00009427815,0.0005175443,0.0002716081,0.0003936724,0.0004193325],"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":[0.0007692783,0.0003246342,0.01611889,0.00006795812,0.0008807594,0.000516422,0.0003174805,0.001610966,0.9623359,0.0114422,0.004770916,0.0008445674],"study_design_scores_gemma":[0.003544797,0.001615432,0.003234527,0.0005576368,0.0002331049,0.001064129,0.001165354,0.003995764,0.8730953,0.007863543,0.1022548,0.001375551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5954545,0.0002894493,0.3041095,0.03970911,0.0003387939,0.0002493654,0.00015376,0.0002743942,0.05942113],"genre_scores_gemma":[0.9287938,0.00004557668,0.06833776,0.000871737,0.001409988,0.00001569687,0.00001463872,0.00005180048,0.0004589255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3333394,"threshold_uncertainty_score":0.9941297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155974067205495,"score_gpt":0.274618391032823,"score_spread":0.2590209843122736,"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."}}