{"id":"W2160492671","doi":"10.2116/analsci.21.199","title":"Multielement Determination of Trace Metals in River Water (Certified Reference Material, JSAC 0301-1) by High Efficiency Nebulization ICP-MS after 100-fold Preconcentration with a Chelating Resin-Packed Minicolumn","year":2005,"lang":"en","type":"article","venue":"Analytical Sciences","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Chemistry; Certified reference materials; Environmental chemistry; Trace element; Inductively coupled plasma; Inductively coupled plasma mass spectrometry; Heavy metals; Chromatography; Mass spectrometry; Detection limit","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008841121,0.0009099472,0.0007387681,0.001017289,0.0008995557,0.0004851362,0.0009622327,0.0006840687,0.001210253],"category_scores_gemma":[0.0007156832,0.0007165549,0.0004043292,0.0007058595,0.0004061563,0.0004591406,0.0004610799,0.0006551123,0.0008583144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942605,"about_ca_system_score_gemma":0.001016997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004354103,"about_ca_topic_score_gemma":0.01082054,"domain_scores_codex":[0.9989554,0.0001146641,0.00009221502,0.0003573867,0.0004073143,0.00007315611],"domain_scores_gemma":[0.9996818,0.00006260414,0.00002887924,0.00005859197,0.0001439009,0.00002421191],"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":[0.00009418414,0.00004008495,0.0008116901,0.0000307165,0.00001765255,0.00002650646,0.00003725913,0.00007726636,0.9944264,0.0000643289,0.0001332311,0.004240626],"study_design_scores_gemma":[0.00002969967,0.0001466747,0.005228586,0.000006181198,0.00004811313,0.0002365606,0.00002155373,0.001158015,0.9895873,0.0001305169,0.003394089,0.00001266843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8496857,0.002127342,0.1376465,0.0003335396,0.0001434216,0.0003562507,0.00204605,0.001504731,0.006156438],"genre_scores_gemma":[0.7557712,0.00251974,0.2026066,0.0005685963,0.0000582615,0.0007155213,0.006737988,0.0003775693,0.03064444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004354103,"threshold_uncertainty_score":0.008657515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329120611394825,"score_gpt":0.2988256392139372,"score_spread":0.2659135780744547,"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."}}