{"id":"W1986966441","doi":"10.1002/hyp.7274","title":"Using synchronous fluorescence spectroscopy and principal components analysis to monitor dissolved organic matter dynamics in a glacier system","year":2009,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meltwater; Glacier; Dissolved organic carbon; Glacial period; Snowmelt; Geology; Hydrology (agriculture); Biogeochemical cycle; Environmental science; Snow; Oceanography; Geomorphology; Environmental chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001717844,0.0002101093,0.0001691436,0.0008688316,0.0004470147,0.0003674969,0.0001049732,0.0001446109,0.0002926122],"category_scores_gemma":[0.0002518707,0.00009963363,0.0001262536,0.0006801608,0.0001720018,0.0001735458,0.0001402087,0.0001500105,0.0000562582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009635107,"about_ca_system_score_gemma":0.0005909402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1194048,"about_ca_topic_score_gemma":0.1486544,"domain_scores_codex":[0.9999185,0.000009242595,0.000002434734,0.00003062379,0.00002260513,0.0000166088],"domain_scores_gemma":[0.9998928,0.00001928049,0.00002043134,0.00000508586,0.00004202106,0.00002039091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004594975,0.0001703388,0.5255475,0.00006817921,0.0001326787,0.0001554562,0.0009187961,0.003541825,0.4202,0.0001323454,0.0003308606,0.04834254],"study_design_scores_gemma":[0.00001129176,0.0001265719,0.9761647,0.000002087666,0.00002218249,0.00003777581,0.0002241232,0.011015,0.01199732,0.00004624811,0.0003397577,0.00001283271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990414,0.00002582155,0.0006506719,0.000004622018,8.138794e-7,0.000007500344,0.00009962592,0.00002439036,0.0001452229],"genre_scores_gemma":[0.9971231,0.00002723786,0.002390178,0.000007132109,0.000001390018,0.000007313632,0.0002272073,0.000004290063,0.0002120335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1194048,"threshold_uncertainty_score":0.2374195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555832457364576,"score_gpt":0.2691748690109318,"score_spread":0.2536165444372861,"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."}}