{"id":"W2765874305","doi":"10.1016/j.scitotenv.2017.10.190","title":"Protonation-dependent heterogeneity in fluorescent binding sites in sub-fractions of fulvic acid using principle component analysis and two-dimensional correlation spectroscopy","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Beijing Municipality; Chinese Academy of Sciences; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Chemistry; Protonation; Tryptophan; Fluorescence; Tyrosine; Proton; Fulvic acid; Binding site; Humic acid; Analytical Chemistry (journal); Chromatography; Organic chemistry; Ion; Amino acid; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002029589,0.0002045118,0.0001582227,0.0002829927,0.0002053546,0.0003592212,0.0002008861,0.0002435352,0.0006407382],"category_scores_gemma":[0.0004257813,0.0001441187,0.0001749155,0.0002477437,0.0003562552,0.0003486169,0.0002203749,0.0005009863,0.000106455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577512,"about_ca_system_score_gemma":0.000219823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00225511,"about_ca_topic_score_gemma":0.002107793,"domain_scores_codex":[0.9998999,0.00001702302,0.000003063044,0.00003628591,0.0000224813,0.00002121449],"domain_scores_gemma":[0.9998199,0.00007572218,0.00003458469,0.00001253234,0.00003684335,0.00002047469],"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":[0.0001521833,0.00001178391,0.0005936554,0.00001943765,0.00001114197,0.00001124505,0.00004123869,0.0002487509,0.9959709,0.000136684,0.00002965995,0.002773261],"study_design_scores_gemma":[0.00001830111,0.00009208198,0.0287201,0.000004081745,0.00003240536,0.00008255593,0.00007959021,0.02967614,0.9404423,0.0002926276,0.0005292786,0.00003061735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872168,0.0002225529,0.01195749,0.0000375136,0.000008376244,0.00001307589,0.0001464353,0.000050972,0.0003468103],"genre_scores_gemma":[0.9919008,0.000216986,0.006973161,0.00002794707,0.000006352151,0.00003126647,0.0001940905,0.00002435635,0.0006249795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225511,"threshold_uncertainty_score":0.004483938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664282274254193,"score_gpt":0.2417081644606121,"score_spread":0.2250653417180702,"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."}}