{"id":"W3113459817","doi":"10.1002/elps.202000239","title":"Electrospray ionization stability and concentration sensitivity in capillary electrophoresis‐mass spectrometry using a flow‐through microvial interface","year":2020,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Analytical Chemistry (journal); Electrospray ionization; Electrospray; Chemistry; Capillary electrophoresis; Capillary electrophoresis–mass spectrometry; Detection limit; Reproducibility; Chromatography; Common emitter; Capillary action; Volumetric flow rate; Materials science; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003601398,0.0006536993,0.000523245,0.0006918603,0.0004070879,0.001036012,0.0008846903,0.0009522335,0.00043785],"category_scores_gemma":[0.006303478,0.0005122874,0.0004133949,0.0004954885,0.0008489685,0.001162867,0.000794292,0.0007178451,0.0002674163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906977,"about_ca_system_score_gemma":0.0008570632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094604,"about_ca_topic_score_gemma":0.0009244045,"domain_scores_codex":[0.9969009,0.0006904941,0.0002559919,0.0006170589,0.001377284,0.0001583648],"domain_scores_gemma":[0.9973713,0.0009633817,0.0004540999,0.000122273,0.001022726,0.00006621519],"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":[0.0001032448,0.00002534652,0.0006732637,0.0001241462,0.00002081632,0.00004561547,0.00005527442,0.0005549174,0.9877753,0.0005434818,0.0001053276,0.009973089],"study_design_scores_gemma":[0.00001106055,0.0001928582,0.002428524,0.00001724588,0.00002651824,0.00027768,0.00002697057,0.009856209,0.9847445,0.0002922254,0.002088083,0.00003812492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5843451,0.01630941,0.3925574,0.0006585467,0.0003513385,0.0003232034,0.0002799928,0.001246353,0.003928624],"genre_scores_gemma":[0.8159527,0.003991969,0.1770609,0.0003437309,0.00008866216,0.0003800875,0.0003331635,0.0001147167,0.001734007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003601398,"threshold_uncertainty_score":0.01904625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065485593995288,"score_gpt":0.2112129091772244,"score_spread":0.2005580532372715,"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."}}