{"id":"W3194540816","doi":"10.1021/acsomega.1c03013","title":"Determination of Metallic Impurities in Carbon Nanotubes by Glow Discharge Mass Spectrometry","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Impurity; Carbon nanotube; Materials science; Certified reference materials; Mass spectrometry; Carbon fibers; Raw material; Soot; Analytical Chemistry (journal); Nanotechnology; Chemistry; Composite material; Chromatography; Detection limit; Combustion; Organic chemistry","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":[0.0004779555,0.0005798253,0.0003219981,0.0009198214,0.0003158618,0.000371227,0.0005430572,0.0007644544,0.0006405676],"category_scores_gemma":[0.0009501799,0.000255749,0.0002391874,0.0004151475,0.00038347,0.0003639936,0.0003552244,0.000563147,0.0005515568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192549,"about_ca_system_score_gemma":0.0003342588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006641618,"about_ca_topic_score_gemma":0.001755855,"domain_scores_codex":[0.999146,0.0001077244,0.00004825143,0.000166076,0.0004908636,0.00004115507],"domain_scores_gemma":[0.9995246,0.0001250246,0.00008376688,0.00005661522,0.0001893926,0.00002062332],"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":[0.00002049632,0.000007072471,0.0002427106,0.00004111693,0.000004696683,0.00003951632,0.00001183341,0.00009174536,0.9960691,0.0001007869,0.00004164423,0.003329285],"study_design_scores_gemma":[0.000002426479,0.00005868939,0.0007825226,0.000007858105,0.000005003621,0.0001296253,0.0000100728,0.001454374,0.9960124,0.00009321683,0.00143714,0.000006711196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685627,0.006380638,0.415685,0.0002738182,0.0001422242,0.0004879849,0.001440968,0.0017858,0.005240845],"genre_scores_gemma":[0.686085,0.005182151,0.3010244,0.0001993501,0.00003744899,0.0004041049,0.001286433,0.0001358943,0.00564523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009198214,"threshold_uncertainty_score":0.003041923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008335384606133735,"score_gpt":0.2400034301475811,"score_spread":0.2316680455414473,"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."}}