{"id":"W4318614080","doi":"10.5194/hess-27-613-2023","title":"Groundwater flow paths drive longitudinal patterns of stream dissolved organic carbon (DOC) concentrations in boreal landscapes","year":2023,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Natural Resources Canada; Canadian Forest Service","funders":"Horizon 2020; Norges Forskningsråd; Stiftelsen Oscar och Lili Lamms Minne; Generalitat de Catalunya; Kempe Foundation; Svenska Forskningsrådet Formas","keywords":"Dissolved organic carbon; Hydrology (agriculture); Environmental science; Groundwater; STREAMS; Riparian zone; Inflow; Snowmelt; Groundwater flow; Subsurface flow; Aquifer; Geology; Snow; Ecology; Geomorphology; Oceanography; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275839,0.0002024836,0.0001445625,0.0003066045,0.0002686298,0.0006173498,0.0002268108,0.0003021758,0.0005341219],"category_scores_gemma":[0.0004498786,0.0002138131,0.0003920554,0.0001960985,0.0002850629,0.0003727574,0.0002782845,0.0001949863,0.00004471666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009205228,"about_ca_system_score_gemma":0.0004525858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03971227,"about_ca_topic_score_gemma":0.04262993,"domain_scores_codex":[0.9999183,0.00001804769,0.000004470058,0.0000287446,0.000006158886,0.00002416569],"domain_scores_gemma":[0.9998416,0.00006147227,0.00002823592,0.0000114789,0.00002424767,0.00003306441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003190741,0.0003462382,0.7793623,0.00005725622,0.0001753358,0.0001825389,0.0003991885,0.157462,0.04780569,0.0009768378,0.0005519998,0.01236144],"study_design_scores_gemma":[0.00005617648,0.0001592308,0.6790721,0.000009711086,0.00006586092,0.00004324363,0.0003063927,0.3169534,0.002509865,0.000437153,0.0003575851,0.00002927836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999557,0.00001535673,0.000203059,0.00001314361,0.000001076901,0.000001966603,0.00006788049,0.00001410663,0.0001264046],"genre_scores_gemma":[0.9997289,0.000009281435,0.0001576757,0.000003876957,4.808498e-7,0.000001808903,0.0000613797,0.000001949387,0.0000346469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971227,"threshold_uncertainty_score":0.07896221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009385204066282874,"score_gpt":0.2075685559177352,"score_spread":0.1981833518514524,"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."}}