{"id":"W2921168162","doi":"10.1088/1681-7575/ab0eac","title":"The role of ICP-MS in inorganic chemical metrology","year":2019,"lang":"en","type":"article","venue":"Metrologia","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metrology; Inductively coupled plasma mass spectrometry; Isotope dilution; Process engineering; Scope (computer science); Certified reference materials; Nanotechnology; Computer science; Mass spectrometry; Biochemical engineering; Analytical Chemistry (journal); Chemistry; Environmental chemistry; Materials science; Engineering; Chromatography; Physics; Detection limit","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":[0.01478673,0.001053645,0.001507249,0.002645348,0.0009037869,0.004691327,0.001621146,0.003011198,0.001587728],"category_scores_gemma":[0.006109561,0.0007007499,0.0007552311,0.002866816,0.004290845,0.00374486,0.002705066,0.003886846,0.001519001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251882,"about_ca_system_score_gemma":0.002201685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420461,"about_ca_topic_score_gemma":0.0009297446,"domain_scores_codex":[0.988321,0.004264032,0.0005406304,0.00184694,0.004808716,0.0002186525],"domain_scores_gemma":[0.9934621,0.003176537,0.00048963,0.0005371319,0.0021832,0.0001514466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002459755,0.000133359,0.0047981,0.005848912,0.0002851519,0.0006129157,0.0005204745,0.00382441,0.1238457,0.1320077,0.02223699,0.7056404],"study_design_scores_gemma":[0.00002335062,0.000318447,0.003547174,0.001569694,0.00009276767,0.001655779,0.0004220204,0.006583299,0.09870774,0.09293446,0.7940132,0.0001321323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01138128,0.6758526,0.257118,0.0123965,0.003610054,0.0001577837,0.0004533015,0.001017678,0.03801289],"genre_scores_gemma":[0.1839765,0.3338776,0.4582836,0.006225657,0.004156784,0.0002571982,0.0004395542,0.0003279787,0.01245502],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01478673,"threshold_uncertainty_score":0.07820058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238300510831155,"score_gpt":0.2485174256065847,"score_spread":0.2392791250957536,"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."}}