{"id":"W2060652968","doi":"10.1002/xrs.582","title":"Correction for long‐term instrumental drift","year":2002,"lang":"en","type":"article","venue":"X-Ray Spectrometry","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Calibration; Analyte; Intensity (physics); Term (time); Reproducibility; Range (aeronautics); Stability (learning theory); Systematic error; Optics; Materials science; Chemistry; Computer science; Physics; Mathematics; Statistics; Chromatography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004262328,0.0001582966,0.0001848685,0.00006513597,0.00006833524,0.00002636688,0.0001304858,0.0001218854,0.002674702],"category_scores_gemma":[0.000241003,0.0001580371,0.0001506197,0.0002555323,0.00003724509,0.00008332605,0.00002302274,0.0002375012,0.0001900755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179874,"about_ca_system_score_gemma":0.000002958016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002003458,"about_ca_topic_score_gemma":7.236453e-7,"domain_scores_codex":[0.9990509,0.000003774348,0.0001965657,0.0002582573,0.0001576374,0.0003328882],"domain_scores_gemma":[0.999445,0.0001757073,0.0000385545,0.0001895709,0.00002010735,0.0001310992],"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":[0.00007137437,0.0007823813,0.01901612,0.0002385423,0.0002424695,0.00004415968,0.0002258713,0.0002924461,0.9498485,0.001112876,0.01872341,0.009401826],"study_design_scores_gemma":[0.001635929,0.0002827776,0.00716042,0.00006896041,0.0001184009,0.00006668187,0.0001175122,0.1686748,0.8160762,0.0001338909,0.004905808,0.0007586509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286236,0.0001832985,0.02426424,0.0002753085,0.0007708701,0.0001923026,0.00002420807,0.0003694639,0.04529673],"genre_scores_gemma":[0.9783214,0.00001902886,0.0006557149,0.00006183337,0.0004729065,0.000009353629,0.00002274481,0.00002653983,0.02041053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1683824,"threshold_uncertainty_score":0.998237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396067447785439,"score_gpt":0.2283146873045044,"score_spread":0.21435401282665,"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."}}