{"id":"W2980282297","doi":"10.1039/c9ay01978b","title":"Spray-inlet microwave plasma torch and low temperature plasma ionization for ambient mass spectrometry of agrochemicals","year":2019,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Natural Science Foundation of China","keywords":"Ion source; Mass spectrometry; Ionization; Plasma; Chemistry; Analytical Chemistry (journal); Microwave; Atmospheric-pressure chemical ionization; Chemical ionization; Thermal ionization mass spectrometry; Ion; Chromatography; Physics","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":[0.001162233,0.00077859,0.0006338303,0.0009487302,0.0005898783,0.0004264934,0.001168302,0.000753941,0.005784641],"category_scores_gemma":[0.0008872062,0.0004598084,0.0004950723,0.0008555675,0.0005801733,0.0007673517,0.001026747,0.001250009,0.001987958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781947,"about_ca_system_score_gemma":0.0008966496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006384632,"about_ca_topic_score_gemma":0.001334745,"domain_scores_codex":[0.9992261,0.0001262321,0.0000362328,0.0001532141,0.0003927241,0.00006547086],"domain_scores_gemma":[0.9996914,0.00007425957,0.00003931714,0.00006421202,0.0001074532,0.00002339955],"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":[0.0002478932,0.00003785845,0.0004649656,0.0003871536,0.00003348281,0.0001506208,0.00007980252,0.0002477025,0.9639031,0.003100154,0.002342881,0.02900446],"study_design_scores_gemma":[0.0001092577,0.0004242466,0.002948909,0.00002687842,0.00003352389,0.001213975,0.00004073169,0.006620356,0.9541359,0.001106544,0.03329895,0.0000407365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2060341,0.007795242,0.7569234,0.0008119412,0.000613014,0.001504249,0.002615388,0.007964997,0.0157377],"genre_scores_gemma":[0.4697417,0.004903669,0.5064897,0.000660212,0.000247879,0.001615043,0.002432187,0.0008005885,0.01310907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005784641,"threshold_uncertainty_score":0.01935154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335888131321811,"score_gpt":0.3209790889678025,"score_spread":0.3076202076545844,"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."}}