{"id":"W2320185350","doi":"10.2166/wst.2011.439","title":"Identification of humic acid-like and fulvic acid-like natural organic matter in river water using fluorescence spectroscopy","year":2011,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Fluorescence; Fulvic acid; Chemistry; Humic acid; Fluorescence spectroscopy; Fractionation; Natural organic matter; Dissolved organic carbon; Organic matter; Environmental chemistry; Matrix (chemical analysis); Fluorescence spectrometry; Filtration (mathematics); Chromatography; Organic chemistry","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":[0.0002089508,0.0002705537,0.0001539953,0.0004235648,0.0001911309,0.0003025846,0.0001152876,0.0004129752,0.0004061898],"category_scores_gemma":[0.0003007453,0.0001144141,0.0001526165,0.0001537929,0.0002058592,0.0002901138,0.0001313432,0.0001547648,0.0001444883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164861,"about_ca_system_score_gemma":0.0001515093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008124049,"about_ca_topic_score_gemma":0.00154626,"domain_scores_codex":[0.9999058,0.000023218,0.000005551951,0.00002719922,0.00002311763,0.00001497926],"domain_scores_gemma":[0.9999278,0.00002276,0.0000174703,0.00000424357,0.00001895773,0.000008762788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002228355,0.000006532479,0.001510013,0.00001994464,0.000003696688,0.00002026512,0.00001833327,0.00005636769,0.9958437,0.00002928352,0.000007448554,0.002462134],"study_design_scores_gemma":[0.000005234152,0.0001593253,0.02148213,0.000006380417,0.000009776333,0.0002432081,0.00009562192,0.00221257,0.9746997,0.0001287469,0.0009444527,0.00001283754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985946,0.0003985844,0.01270399,0.00003954941,0.000002997235,0.0000284306,0.0001725325,0.00004694844,0.0006609282],"genre_scores_gemma":[0.9774025,0.0004380263,0.020889,0.00004073277,0.000003559624,0.00003052242,0.0001934694,0.000009773822,0.0009923449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008124049,"threshold_uncertainty_score":0.001615345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249860933537369,"score_gpt":0.2336566921282056,"score_spread":0.2211580827928319,"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."}}