{"id":"W1854036836","doi":"10.1002/hyp.10566","title":"A coupled hydrology–biogeochemistry model to simulate dissolved organic carbon exports from a permafrost‐influenced catchment","year":2015,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Dissolved organic carbon; Permafrost; Biogeochemistry; Hydrology (agriculture); Drainage basin; Snowmelt; Environmental science; Catchment hydrology; Hydrological modelling; STREAMS; Structural basin; Geology; Oceanography; Climatology; Snow; Geomorphology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002354719,0.0003769337,0.0004701738,0.00005751746,0.0001384348,0.00008537311,0.0004533299,0.0002895812,0.002698243],"category_scores_gemma":[0.0003618234,0.0002868884,0.00006418153,0.000399181,0.0001475331,0.0001503497,0.00008528177,0.0002494066,0.0002822007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209941,"about_ca_system_score_gemma":0.0001959988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002868038,"about_ca_topic_score_gemma":0.004947839,"domain_scores_codex":[0.9976035,0.00004287337,0.0004131157,0.0007829492,0.0004497943,0.0007077507],"domain_scores_gemma":[0.9984129,0.0001960041,0.0001291327,0.0003717139,0.0001619895,0.0007282805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009597535,0.0002183299,0.8163669,0.00009515468,0.00005820041,0.0003166032,0.004011364,0.1327,0.04450652,0.000001236197,0.000571746,0.0001941558],"study_design_scores_gemma":[0.001760753,0.0009033252,0.03101296,0.00006714231,0.0001262096,0.00005031435,0.0004843163,0.9483075,0.009030166,0.00615282,0.000873344,0.001231206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994011,0.001070374,0.00004502793,0.001006671,0.0001360692,0.0003269684,0.001639333,0.0001769519,0.001587576],"genre_scores_gemma":[0.9935973,0.00009288475,0.0001012609,0.002449852,0.0001971909,0.00001816398,0.003425585,0.00001141956,0.0001063203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8156074,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899093613483949,"score_gpt":0.258756406935114,"score_spread":0.2097654708002746,"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."}}