{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003182846,0.0001630322,0.0003363071,0.0001780801,0.00002833919,0.00007356882,0.0002929215,0.00008920613,0.00008174123],"category_scores_gemma":[0.0002461296,0.0001655464,0.00007071775,0.0005220622,0.0001031594,0.0002317921,0.0001513623,0.0001016257,0.00001136515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090609,"about_ca_system_score_gemma":0.00006808859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014669,"about_ca_topic_score_gemma":0.00007739373,"domain_scores_codex":[0.9984337,0.0001238954,0.0003947961,0.0003490884,0.0003846236,0.0003139043],"domain_scores_gemma":[0.999088,0.0002754294,0.0001084221,0.0003953883,0.00008642734,0.00004637256],"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":[0.00001128072,0.00007789425,0.003309622,0.00005460628,0.000005530085,0.00002099838,0.0001507515,0.000001346963,0.9951818,0.0009619544,0.00005660599,0.0001676218],"study_design_scores_gemma":[0.0002756212,0.00005125045,0.0009947824,0.0000541314,0.00001815034,0.00001547201,0.00009882086,0.0001492635,0.9960053,0.001923879,0.0002347425,0.0001786147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950046,0.002166227,0.00008418608,0.0001911178,0.0004806808,0.0001133777,0.00005583951,0.00004389716,0.001860094],"genre_scores_gemma":[0.9944046,0.0001104067,0.00480978,0.00004513451,0.00006070179,0.00002129518,0.00001785566,0.00002123498,0.0005090098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004725594,"threshold_uncertainty_score":0.6750785,"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."}}