{"id":"W4304182930","doi":"10.1016/j.scitotenv.2022.159382","title":"Modelling Subarctic watershed dissolved organic carbon response to hydroclimatic regime","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Climate change; Precipitation; Subarctic climate; Streamflow; Watershed; Northern Hemisphere; Baseline (sea); Drainage basin; Climatology; Carbon cycle; Ecosystem; Geology; Oceanography; Geography; Meteorology; Ecology","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":[0.0003104237,0.0005365315,0.0004331223,0.0003160953,0.000479515,0.0009027364,0.0008505982,0.001298517,0.001937908],"category_scores_gemma":[0.0009617273,0.0004544762,0.0006573062,0.0005662218,0.000489163,0.0004084327,0.0003686564,0.0007292705,0.0001644317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463195,"about_ca_system_score_gemma":0.001558273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2329209,"about_ca_topic_score_gemma":0.1540077,"domain_scores_codex":[0.9999142,0.00002100047,0.000004233116,0.00002973972,0.000007345654,0.00002345249],"domain_scores_gemma":[0.9994655,0.0003109312,0.00005344816,0.00002709401,0.00006626771,0.0000767121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008250715,0.0001012315,0.01556086,0.00001804715,0.00005551802,0.00008898481,0.00002665057,0.9813119,0.001337331,0.0002331401,0.0002211184,0.000962745],"study_design_scores_gemma":[0.00004071856,0.00003324493,0.01221928,0.000003214265,0.00002675361,0.00001049157,0.00004814397,0.9867761,0.000553882,0.00008776842,0.0001902075,0.000010234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997516,0.00005708417,0.0006114247,0.0001461646,0.00001427181,0.00000690117,0.0004395391,0.0000558048,0.001152802],"genre_scores_gemma":[0.9983068,0.00006084748,0.0006000242,0.00002588984,0.000007083487,0.00001027406,0.0002395932,0.00001382971,0.0007356703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329209,"threshold_uncertainty_score":0.4631304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040491024066287,"score_gpt":0.1931711392527273,"score_spread":0.1827662290120644,"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."}}