{"id":"W4400323252","doi":"10.1039/d4ja00075g","title":"Towards the best total consumption infrared-heated sample introduction system for nanoparticle measurement using single particle inductively coupled plasma mass spectrometry","year":2024,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Inductively coupled plasma mass spectrometry; Nanoparticle; Particle (ecology); Sample (material); Mass spectrometry; Analytical Chemistry (journal); Inductively coupled plasma; Sample preparation; Chemistry; Materials science; Plasma; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002338407,0.0003938005,0.000739953,0.0002808202,0.0002129168,0.0003321591,0.0003786966,0.0002302508,0.0006920719],"category_scores_gemma":[0.002076879,0.0002953738,0.0004755664,0.001159068,0.0002531154,0.0003320003,0.00008834025,0.0007852277,0.00003302853],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004422338,"about_ca_system_score_gemma":0.0005160094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001605375,"about_ca_topic_score_gemma":9.682902e-7,"domain_scores_codex":[0.9958961,0.0001016466,0.001411859,0.0005429941,0.001325698,0.000721712],"domain_scores_gemma":[0.9975131,0.0006950515,0.0004183413,0.000385186,0.0006227036,0.0003656202],"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":[0.000472398,0.0002795084,0.0007006628,0.0005339554,0.001150964,0.00005332068,0.00007837079,0.000155194,0.9940428,0.001838403,0.0002053407,0.0004890442],"study_design_scores_gemma":[0.001060837,0.0002314412,0.0002046823,0.0003117153,0.001026372,0.0008434948,0.001171028,0.13356,0.859427,0.001414726,0.0003886829,0.000359964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563738,0.0006179598,0.1408423,0.001014475,0.0006662127,0.0001539161,0.00003086426,0.00009180379,0.0002086787],"genre_scores_gemma":[0.9563046,0.00002066221,0.04114246,0.00001684157,0.002259563,0.000008926139,0.000006315371,0.00006069627,0.0001799032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346158,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632902517244279,"score_gpt":0.303172891606549,"score_spread":0.2268438664341063,"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."}}