{"id":"W2095884799","doi":"10.1007/s13361-013-0800-0","title":"Multi-Component Ion Modifiers and Arcing Suppressants to Enhance Differential Mobility Spectrometry for Separation of Peptides and Drug Molecules","year":2014,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Analyte; Ion-mobility spectrometry; Analytical Chemistry (journal); Molecule; Ion; Hexanol; Sensitivity (control systems); Proton; Mass spectrometry; Small molecule; Chromatography; Proton affinity; Component (thermodynamics); Organic chemistry","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":[0.0008624314,0.0007620993,0.0002954527,0.0005240548,0.0002684365,0.0004059712,0.0006336545,0.000440996,0.0009813827],"category_scores_gemma":[0.0007696424,0.0002963555,0.000391928,0.000360413,0.0004482363,0.0005476465,0.0004550952,0.0006838881,0.0004145374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493613,"about_ca_system_score_gemma":0.000240681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296755,"about_ca_topic_score_gemma":0.0007344952,"domain_scores_codex":[0.9995508,0.00008784016,0.00003856397,0.0001053563,0.0001681275,0.00004934393],"domain_scores_gemma":[0.9995134,0.0002103056,0.000113217,0.0000544059,0.00007179477,0.00003685858],"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":[0.00003561601,0.000006251624,0.00007191346,0.00004116337,0.000004275285,0.00001597726,0.00001143578,0.00004785045,0.9978467,0.00007695898,0.00002139823,0.001820449],"study_design_scores_gemma":[0.000002220452,0.00002895174,0.0001398638,0.000001230542,0.000004606244,0.00003371014,0.000002399995,0.0002105932,0.9990616,0.00001043809,0.0005018145,0.000002412407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8475311,0.007517106,0.1403931,0.0005251368,0.0001760881,0.0002485347,0.0002750039,0.0009297391,0.002404137],"genre_scores_gemma":[0.7835712,0.003952821,0.2078548,0.0002870563,0.00007003599,0.0001725433,0.000299298,0.0001611067,0.003631166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009813827,"threshold_uncertainty_score":0.004561067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061046090941769,"score_gpt":0.2979998076260963,"score_spread":0.2873893467166786,"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."}}