{"id":"W2289984570","doi":"10.1021/acs.analchem.5b02924","title":"Blank Correction in Isotope Dilution","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Blank; Chemistry; Isotope dilution; Calibration; Analyte; Dilution; Sample (material); Matching (statistics); Compensation (psychology); Calibration curve; Analytical Chemistry (journal); Chromatography; Mass spectrometry; Detection limit; Statistics; Mechanical engineering; Mathematics","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":[0.004530517,0.001625725,0.001745049,0.001624951,0.0011946,0.001627217,0.0038984,0.00274787,0.003858786],"category_scores_gemma":[0.007464542,0.00131482,0.0009821899,0.001289209,0.001635757,0.002022146,0.003172346,0.003947348,0.003924896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045501,"about_ca_system_score_gemma":0.001328092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005160752,"about_ca_topic_score_gemma":0.001085663,"domain_scores_codex":[0.9900168,0.001504329,0.0002962761,0.002106004,0.00577957,0.0002971397],"domain_scores_gemma":[0.9970767,0.0008852998,0.0003001979,0.0007265985,0.0009312344,0.00007989151],"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":[0.0002906878,0.0001593727,0.001359837,0.000862791,0.0001175527,0.0003423108,0.0002158096,0.0009969535,0.7892734,0.008715314,0.005177252,0.1924886],"study_design_scores_gemma":[0.00003965747,0.0003778051,0.001247975,0.00008894265,0.00009511181,0.001695492,0.00003819481,0.01156652,0.9087673,0.004230108,0.07172178,0.0001311456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009028748,0.003602469,0.9795415,0.0002734193,0.001487503,0.0002942992,0.0001431232,0.001998951,0.003630061],"genre_scores_gemma":[0.1128739,0.004322165,0.8633943,0.001243812,0.0005439195,0.0007712392,0.0005147463,0.000926911,0.01540909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004530517,"threshold_uncertainty_score":0.02395993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353136404931253,"score_gpt":0.2470745266164066,"score_spread":0.2335431625670941,"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."}}