{"id":"W1545989895","doi":"10.1002/rcm.5133","title":"Increasing the rate of sample vaporization in an open air desorption ionization source by using a heated metal screen as a sample holder","year":2011,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"McMaster University","keywords":"DART ion source; Chemistry; Vaporization; Dart; Analytical Chemistry (journal); Desorption; Mass spectrometry; Ionization; Atmospheric pressure; Sample preparation; Sample (material); Dissolution; Chromatography; Adsorption; Electron ionization","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":[0.0006000999,0.0006111152,0.0003635273,0.0005022247,0.0002216251,0.0005688578,0.0007825062,0.0004702028,0.004047497],"category_scores_gemma":[0.0009275211,0.000427444,0.0002826866,0.0003603455,0.000317082,0.0006825715,0.0005484748,0.001015336,0.001405922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787917,"about_ca_system_score_gemma":0.000373156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179759,"about_ca_topic_score_gemma":0.0008107144,"domain_scores_codex":[0.999527,0.00004638595,0.00003448617,0.0002011754,0.0001481518,0.00004297771],"domain_scores_gemma":[0.9992098,0.0003868218,0.00009932412,0.0001028812,0.000161195,0.00004000196],"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":[0.00004028748,0.000008874055,0.00006707101,0.00002782007,0.000002281134,0.00001391863,0.00001344222,0.00002861544,0.9981535,0.00005643639,0.00005637867,0.001531341],"study_design_scores_gemma":[0.000007467781,0.00007899191,0.0005359696,0.000002527931,0.000005553184,0.00006216629,0.000006822746,0.001040509,0.9962591,0.00001716801,0.001977072,0.000006536794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7391042,0.002108605,0.2447892,0.0003684711,0.0003081978,0.0006909746,0.0009227397,0.004976939,0.006730861],"genre_scores_gemma":[0.6815747,0.002314816,0.3019079,0.0002747728,0.0001154878,0.000711744,0.001234851,0.0009092524,0.01095648],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004047497,"threshold_uncertainty_score":0.01354021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469716939864407,"score_gpt":0.3182971133466158,"score_spread":0.2535999439479718,"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."}}