{"id":"W2317451226","doi":"10.1021/ac2034503","title":"State-of-the Art Comparability of Corrected Emission Spectra.1. Spectral Correction with Physical Transfer Standards and Spectral Fluorescence Standards by Expert Laboratories","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Comparability; Calibration; NIST; Emission spectrum; Chemistry; Spectral line; Analytical Chemistry (journal); Metrology; Fluorescence; Measurement uncertainty; Certified reference materials; Remote sensing; Optics; Statistics; Physics; Computer science; Detection limit; Mathematics; Environmental chemistry","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":[0.0002309656,0.0002578621,0.0003594994,0.00001197948,0.00007035699,0.00001423456,0.0001862857,0.0001250775,0.00003106824],"category_scores_gemma":[0.0001863228,0.0001883524,0.00009619122,0.0002387,0.0008903794,0.00002093296,0.00005979437,0.0002682802,1.513594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139925,"about_ca_system_score_gemma":0.0002444366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001307642,"about_ca_topic_score_gemma":0.000006199701,"domain_scores_codex":[0.9984013,0.00004835135,0.0002989366,0.0003642133,0.0005124191,0.000374721],"domain_scores_gemma":[0.9989518,0.00002991195,0.00008523999,0.0004010011,0.0003584538,0.0001736293],"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":[0.0006260041,0.0002447781,0.02029339,0.00006628848,0.00004006919,5.407665e-7,0.0001367072,0.000004326171,0.9729687,0.00001208698,0.005264849,0.0003422812],"study_design_scores_gemma":[0.0003576694,0.0002402195,0.002168634,0.00007760275,0.00003791079,0.00001356355,0.00008895197,0.00020736,0.9936959,0.00003838523,0.002848953,0.000224858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829242,0.0003843707,0.01556642,0.00005001166,0.00006833655,0.0001768127,0.0003828992,0.00002801277,0.0004189523],"genre_scores_gemma":[0.9983326,0.0001080421,0.001156441,0.00001605698,0.0001066836,0.000007616717,0.00004913223,0.00002386567,0.0001995219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072721,"threshold_uncertainty_score":0.7680789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004485333851677947,"score_gpt":0.2731531283071425,"score_spread":0.2686677944554646,"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."}}