{"id":"W4285177524","doi":"10.1039/d2ja00059h","title":"A total consumption infrared heated sample introduction system for nanoparticle measurement using single particle inductively coupled plasma mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inductively coupled plasma mass spectrometry; Mass spectrometry; Particle (ecology); Analytical Chemistry (journal); Chemistry; Inductively coupled plasma; Sample (material); Nanoparticle; Plasma; Materials science; Environmental chemistry; Chromatography; Nanotechnology; Physics","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":[0.0009762071,0.0008864757,0.0008608002,0.001031115,0.0006976849,0.000549097,0.001320129,0.0007867957,0.007715543],"category_scores_gemma":[0.001030089,0.0009608498,0.0004304752,0.0007064804,0.0006340101,0.0008548032,0.0006941682,0.001091262,0.00277307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322755,"about_ca_system_score_gemma":0.001155237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008031574,"about_ca_topic_score_gemma":0.002401838,"domain_scores_codex":[0.9986973,0.00009912844,0.00006379957,0.0004389941,0.0006470206,0.00005363948],"domain_scores_gemma":[0.9993611,0.0001467645,0.00007503248,0.0001599942,0.0002168695,0.00004023338],"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":[0.0001020034,0.00003255663,0.0002901035,0.00009148679,0.00001242199,0.00002526384,0.00003226928,0.0001589031,0.989615,0.0003116729,0.001111298,0.008216989],"study_design_scores_gemma":[0.00006221748,0.0003305992,0.002682611,0.00001487052,0.00004453919,0.0003690314,0.00002521475,0.008321973,0.966023,0.0001599526,0.02192017,0.00004578342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2116033,0.001289336,0.758391,0.0003965404,0.0003713734,0.001649291,0.002970145,0.0148806,0.008448396],"genre_scores_gemma":[0.3570692,0.001147136,0.6020739,0.0007840864,0.0002182776,0.004149477,0.004017126,0.001534217,0.02900662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007715543,"threshold_uncertainty_score":0.02581108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173102741289244,"score_gpt":0.2467737877038924,"score_spread":0.215042760291,"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."}}