{"id":"W2776169756","doi":"10.1016/j.envpol.2017.11.076","title":"Cation-induced coagulation of aquatic plant-derived dissolved organic matter: Investigation by EEM-PARAFAC and FT-IR spectroscopy","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Dissolved organic carbon; Chemistry; Environmental chemistry; Metal ions in aqueous solution; Metal; Fractionation; Organic matter; Inorganic chemistry; Chromatography; Organic 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":[0.0001826344,0.0001578728,0.0001741006,0.00003069071,0.0004249191,0.00005957761,0.0001401996,0.00007695875,0.0003581519],"category_scores_gemma":[0.00002065915,0.0001583461,0.00004057644,0.00003889084,0.000305183,0.0004206257,0.0001128027,0.00007974089,0.0002435959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277948,"about_ca_system_score_gemma":0.000004599146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281117,"about_ca_topic_score_gemma":0.00003366133,"domain_scores_codex":[0.9988347,0.00008074903,0.0002830501,0.0003128898,0.0003007527,0.000187897],"domain_scores_gemma":[0.9991791,0.00001735434,0.0003332238,0.0003700474,8.397164e-7,0.00009948189],"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":[0.000007862075,0.00003664047,0.2222095,0.000004667565,0.0000122198,2.606445e-7,0.0003494867,0.00002002627,0.776965,0.000002003935,0.0002337975,0.0001585752],"study_design_scores_gemma":[0.0002059234,0.00003425283,0.5011975,0.00001016649,0.00003155047,0.00000143869,0.00009793747,0.0005871325,0.4974735,0.000239227,0.00001373295,0.0001076916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982939,0.00001803627,0.0004441378,0.0008727267,0.00008022274,0.0001603079,0.0000503347,0.00001751497,0.00006279453],"genre_scores_gemma":[0.999037,0.00002629763,0.0004642795,0.00003886328,0.00003975021,0.00000848138,0.0001426284,0.00001470597,0.0002280136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2794914,"threshold_uncertainty_score":0.6457167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263317305300937,"score_gpt":0.2240202770744699,"score_spread":0.2113871040214605,"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."}}