{"id":"W4402827031","doi":"10.3390/w16192724","title":"Seasonal- and Event-Scale Stream DOC Dynamics in Northern Hardwood-Dominated Headwater Catchments of Contrasting Forest Harvest History","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Canadian Forest Service; Natural Resources Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Fisheries and Oceans Canada; Environment and Climate Change Canada; Canadian Forest Service; Ontario Ministry of Natural Resources and Forestry; Natural Resources Canada; Ministry of Natural Resources","keywords":"Dissolved organic carbon; Environmental science; Hydrology (agriculture); Drainage basin; Streamflow; Experimental forest; STREAMS; Water quality; Catchment hydrology; Ecology; Geology; Oceanography","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":[0.000227385,0.000143703,0.0002189645,0.0004525433,0.0003583864,0.0005205024,0.0002188572,0.0002309227,0.0006409413],"category_scores_gemma":[0.0005166387,0.0001044553,0.0001573933,0.0004736001,0.0004281737,0.0003465521,0.0005021706,0.0001669508,0.00008381745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009074485,"about_ca_system_score_gemma":0.0003237638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04434957,"about_ca_topic_score_gemma":0.1099629,"domain_scores_codex":[0.9998807,0.00001748239,0.00000649293,0.00004046175,0.00001770808,0.00003721096],"domain_scores_gemma":[0.9996865,0.00005639223,0.00009804647,0.00001793806,0.0000391631,0.0001019042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003329078,0.0001627899,0.983631,0.0000156396,0.00004184459,0.0002509828,0.001064245,0.0002963401,0.01061628,0.0000404868,0.00009310751,0.003454322],"study_design_scores_gemma":[0.000001840369,0.0000152123,0.9996046,5.355673e-7,0.000002708377,0.00001422293,0.0001267182,0.0001355419,0.00006734408,0.000005228823,0.00002511016,9.531799e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998863,0.000008933049,0.00001162257,0.00000181529,2.365532e-7,0.000001559456,0.00003958197,7.575348e-7,0.00004915342],"genre_scores_gemma":[0.999505,0.00001645065,0.00005251963,0.000005907134,0.000001680897,0.000006614389,0.0002539038,0.000001005485,0.0001567937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04434957,"threshold_uncertainty_score":0.08818281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005209967187143848,"score_gpt":0.1956911113683787,"score_spread":0.1904811441812349,"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."}}