{"id":"W3084533941","doi":"10.3390/fire3030053","title":"Effects of Prescribed Burn on Nutrient and Dissolved Organic Matter Characteristics in Peatland Shallow Groundwater","year":2020,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry","keywords":"Peat; Environmental science; Groundwater; Nutrient; Organic matter; Boreal; Hydrology (agriculture); Dissolved organic carbon; Prescribed burn; Colored dissolved organic matter; Water quality; Ecology; Environmental chemistry; Geology; Chemistry; Phytoplankton; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007179009,0.0001340412,0.0002262607,0.00001328645,0.00002489722,0.00002178956,0.0001239377,0.00005844857,0.0005359738],"category_scores_gemma":[0.00004786864,0.0001089236,0.00002471142,0.0001053283,0.00004311126,0.00008667307,0.0001232897,0.0001046308,0.0004154618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005450901,"about_ca_system_score_gemma":0.000002211479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002066552,"about_ca_topic_score_gemma":0.0000357408,"domain_scores_codex":[0.9991111,0.00006624081,0.0001914428,0.0002691107,0.0001729184,0.0001892409],"domain_scores_gemma":[0.9996175,0.00008776252,0.00006549023,0.0001317761,0.000002613247,0.00009484983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313086,0.0002176221,0.8809526,0.0005162738,0.00001301777,0.0000813255,0.002452529,0.000002154236,0.1125369,0.000003790765,0.001853578,0.001238912],"study_design_scores_gemma":[0.0006816642,0.0003185121,0.9848646,0.000124512,0.00001105087,0.000003024596,0.00001017326,0.002434719,0.01032401,0.00001024223,0.001072547,0.000144982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985781,0.00002594543,0.00002480428,0.0006360466,0.00007911032,0.0004374832,0.000006001947,0.00001801927,0.0001944685],"genre_scores_gemma":[0.9992936,0.000008639386,0.00001936696,0.0004503382,0.00003849361,0.00002079599,0.00001087309,0.00001893955,0.00013898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.103912,"threshold_uncertainty_score":0.5868537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004602685766089404,"score_gpt":0.1754476583887027,"score_spread":0.1708449726226133,"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."}}