{"id":"W2013016077","doi":"10.1021/ac061616v","title":"Online Standard Additions Calibration of Transient Signals for Inductively Coupled Plasma Mass Spectrometry","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Chemistry; Analyte; Calibration; Standard addition; Analytical Chemistry (journal); Standard solution; Matrix (chemical analysis); Chromatography; Inductively coupled plasma mass spectrometry; Mass spectrometry; Nebulizer; Calibration curve; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002705993,0.0003915306,0.000696566,0.00005543098,0.0001031374,0.00003999536,0.0003356502,0.0004033752,0.005822232],"category_scores_gemma":[0.0005361323,0.0003978928,0.0003878657,0.0004310028,0.0003185702,0.000104286,0.00004404614,0.0004004218,0.000002999221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003472983,"about_ca_system_score_gemma":0.0002942616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001506635,"about_ca_topic_score_gemma":0.000002540349,"domain_scores_codex":[0.9970865,0.00001632982,0.001008936,0.0006573065,0.0006717018,0.0005592147],"domain_scores_gemma":[0.9980302,0.0006487453,0.0002749594,0.000430993,0.000357005,0.0002580388],"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":[0.0002495233,0.0005304728,0.0002600374,0.0006658044,0.0002348184,0.00001325316,0.00001338917,0.0002785487,0.9954824,0.000551538,0.001620414,0.00009982556],"study_design_scores_gemma":[0.001240848,0.00003350006,0.00009004177,0.00009490404,0.0002783334,0.00001143694,0.0001776915,0.04579136,0.9466367,0.003513865,0.001679483,0.0004518432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.474907,0.0000951632,0.4939204,0.0009000644,0.00004338519,0.0002482945,0.003806077,0.0002126664,0.02586691],"genre_scores_gemma":[0.9200147,0.0000111649,0.07187299,0.0000381389,0.0005356748,0.00005741734,0.002109058,0.0000657347,0.005295102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4451077,"threshold_uncertainty_score":0.9998473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642017242771472,"score_gpt":0.2902104719916803,"score_spread":0.2637902995639655,"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."}}