{"id":"W3158164430","doi":"10.5194/egusphere-egu21-78","title":"Predicting Source Water Quality Following Wildfires Using Hydrologic Modeling","year":2021,"lang":"en","type":"article","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Water quality; Sediment; Hydrology (agriculture); Streamflow; Total organic carbon; Water supply; Ecosystem; Aquatic ecosystem; Soil and Water Assessment Tool; Water resource management; Environmental engineering; Drainage basin; Ecology; Geography; Geology","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":[0.0006742831,0.0005164913,0.0002991908,0.0005171068,0.0004198948,0.0008993531,0.0006582578,0.0008141587,0.0006608954],"category_scores_gemma":[0.001318329,0.0004101866,0.0007927396,0.0006265718,0.0003618051,0.000865736,0.0003817722,0.0006180945,0.0001006136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242012,"about_ca_system_score_gemma":0.00158284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1127711,"about_ca_topic_score_gemma":0.1212778,"domain_scores_codex":[0.9998603,0.00002455034,0.00001316014,0.00004518691,0.00002443379,0.00003245885],"domain_scores_gemma":[0.9994676,0.000209578,0.00009924785,0.00004134603,0.0001047676,0.00007751317],"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":[0.00005789517,0.0001586145,0.09545211,0.00001381076,0.00005932279,0.00008628987,0.00003135565,0.8978909,0.0008877606,0.0002566226,0.00038179,0.004723459],"study_design_scores_gemma":[0.00001157677,0.00001586057,0.01251368,0.000002225505,0.00001026421,0.000005746766,0.00001986089,0.986842,0.0003442794,0.0001263016,0.000101661,0.000006584685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938403,0.0000344161,0.004110389,0.0001208366,0.00001436499,0.00002795267,0.0008304755,0.0001469865,0.0008743517],"genre_scores_gemma":[0.996899,0.00005233581,0.002106696,0.00001344468,0.000006128688,0.00001765245,0.0006355533,0.00001000399,0.0002592015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127711,"threshold_uncertainty_score":0.2242295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551397407450174,"score_gpt":0.2571385683085315,"score_spread":0.2316245942340298,"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."}}