{"id":"W4224938510","doi":"10.1088/1748-9326/ac6a6c","title":"Forest fire effects on stream water quality at continental scales: a meta-analysis","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemical cycle; Environmental science; Water quality; Phosphorus; Total organic carbon; Hydrology (agriculture); STREAMS; Dissolved organic carbon; Environmental chemistry; Ecology; Chemistry; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003448604,0.0004101635,0.000795027,0.0002158336,0.001334154,0.00007603151,0.0008925117,0.00006822781,0.02659276],"category_scores_gemma":[0.00007255958,0.0003126989,0.001088247,0.0005154602,0.0006027316,0.0002207966,0.00260244,0.0008027259,0.005797544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003222652,"about_ca_system_score_gemma":0.000003257568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210204,"about_ca_topic_score_gemma":0.0006077548,"domain_scores_codex":[0.9903964,0.003012782,0.000484884,0.001219588,0.003601404,0.001284895],"domain_scores_gemma":[0.9975638,0.0008522098,0.0001105683,0.001106987,0.000001981712,0.0003643847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005533398,0.001533642,0.5098994,0.00006575553,0.02176389,0.0006155106,0.001358764,0.01395247,0.4124674,0.00001125609,0.03561874,0.002159802],"study_design_scores_gemma":[0.002779158,0.002312243,0.7920424,0.000006969063,0.0125431,0.00004503897,0.0008545566,0.006614209,0.1332988,0.00006561552,0.04734001,0.002097976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948283,0.000122009,0.00001123773,0.002808241,0.000140309,0.001250714,0.0002064126,0.00005721666,0.0005755116],"genre_scores_gemma":[0.9936149,0.000005316254,0.00004599635,0.001828303,0.00006616301,0.001116662,0.0003034182,0.00006135509,0.002957916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282143,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03803262825886802,"score_gpt":0.3005147534435797,"score_spread":0.2624821251847117,"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."}}