{"id":"W2917975369","doi":"10.1002/hyp.13413","title":"The role of wetland coverage within the near‐stream zone in predicting of seasonal stream export chemistry from forested headwater catchments","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Trent University; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemical cycle; Wetland; Hydrology (agriculture); Drainage basin; Riparian zone; Environmental science; Biogeochemistry; Nutrient; STREAMS; Dry season; Cycling; Ecology; Geology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176063,0.0001580424,0.0001750572,0.0003506114,0.0003511382,0.0006526973,0.0002038825,0.0001614259,0.0005385235],"category_scores_gemma":[0.0006190286,0.0001011884,0.0001893652,0.0002782808,0.0002646849,0.0002079432,0.0002398567,0.00009637745,0.0000639591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009707045,"about_ca_system_score_gemma":0.0008609495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4486837,"about_ca_topic_score_gemma":0.6280729,"domain_scores_codex":[0.9999219,0.00001274319,0.000004627208,0.00002492468,0.00001326711,0.00002253662],"domain_scores_gemma":[0.9997298,0.00007216195,0.0000482153,0.0000109966,0.00004702004,0.00009167843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005372,0.0000166747,0.9919406,0.000007944476,0.00003482247,0.00003223339,0.00009466199,0.002525166,0.002074823,0.00001997774,0.00006306456,0.003089487],"study_design_scores_gemma":[0.000003232823,0.00001069253,0.9938201,0.000002101881,0.000006597644,0.00001181786,0.00009655178,0.005859151,0.00009680448,0.00001235428,0.00007846737,0.000002159707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997209,0.00002000931,0.00006851742,0.000004213342,4.226295e-7,0.000001489118,0.00008447428,0.000003045083,0.00009694468],"genre_scores_gemma":[0.999713,0.00001093324,0.00007312305,0.00000197762,5.860508e-7,7.83006e-7,0.0001294979,7.800062e-7,0.00006939114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4486837,"threshold_uncertainty_score":0.8921441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005119590426086405,"score_gpt":0.1947500161645323,"score_spread":0.1896304257384459,"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."}}