{"id":"W2902371506","doi":"10.1038/s41598-018-34028-z","title":"The direct and accurate determination of major elements Ca, K, Mg and Na in water by HR-ICPMS","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Isotope dilution; Chemistry; Analytical Chemistry (journal); Dilution; Calibration; Analyte; Standard addition; Chromatography; Detection limit; Mass spectrometry; Mathematics; Physics","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":[0.001687542,0.0001026693,0.0001338671,0.00002896028,0.0001795301,0.0001221524,0.0000861517,0.0000566549,0.0001957564],"category_scores_gemma":[0.000286754,0.00006515811,0.00001923411,0.0001000338,0.000478372,0.00007835123,0.0001354083,0.00006373236,0.000003048375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004257897,"about_ca_system_score_gemma":0.00003313436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864357,"about_ca_topic_score_gemma":0.00002691265,"domain_scores_codex":[0.9985315,0.00002241239,0.0004806251,0.0004368467,0.0002892646,0.0002394133],"domain_scores_gemma":[0.999246,0.00006742404,0.0001667505,0.0003482162,0.0001009125,0.00007071219],"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":[0.000009727522,0.00001989739,0.01188839,0.00005814139,0.00001003844,0.00002898538,0.0002825296,2.356825e-8,0.97572,0.000001592463,0.000743825,0.01123684],"study_design_scores_gemma":[0.0001069674,0.000004484743,0.0005746965,0.00003105884,0.00001077747,0.00003091739,0.00008106699,0.0003705361,0.983216,0.0009589444,0.01451969,0.00009486922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920813,0.00008865521,0.0001859895,0.00006838625,0.0002825326,0.00008294852,0.000002582735,0.00001027119,0.007197271],"genre_scores_gemma":[0.9854558,0.000007468796,0.001651497,0.00000628217,0.00001789744,0.00001619299,0.00002342955,0.000007547921,0.01281387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377587,"threshold_uncertainty_score":0.265707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537476881966789,"score_gpt":0.2899913597002182,"score_spread":0.2746165908805503,"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."}}