{"id":"W2981002203","doi":"10.1071/wfv28n10_fo","title":"The influence of wildfire on water quality and watershed processes: new insights and remaining challenges","year":2019,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Natural Environment Research Council; Alberta Innovates; Sight Research UK; Leverhulme Trust","keywords":"Watershed; Environmental resource management; Environmental science; Water quality; Environmental planning; Geography; Ecology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007077769,0.000674327,0.001872068,0.001852768,0.001230069,0.009416623,0.001279239,0.003205959,0.005092647],"category_scores_gemma":[0.01018561,0.0003574297,0.001267441,0.002923101,0.0025541,0.008950001,0.002966481,0.005023251,0.0008372835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842391,"about_ca_system_score_gemma":0.003740661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236594,"about_ca_topic_score_gemma":0.005338871,"domain_scores_codex":[0.9981483,0.0005976274,0.0002333961,0.0003535428,0.0004593549,0.0002077843],"domain_scores_gemma":[0.9849944,0.01056797,0.0009073996,0.0005603968,0.002182861,0.0007869425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002924624,0.00023738,0.0204141,0.008223243,0.0006033392,0.001114946,0.004141005,0.003944146,0.00231381,0.07370037,0.1458733,0.7391418],"study_design_scores_gemma":[0.00002176852,0.0002727046,0.02658057,0.006042398,0.0002307518,0.0007072974,0.01040873,0.003031801,0.0008648185,0.1863654,0.7652704,0.0002033176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01773516,0.774888,0.01333883,0.1324086,0.04596305,0.00004940998,0.0005931757,0.0001167608,0.01490702],"genre_scores_gemma":[0.08091303,0.8055444,0.008500996,0.01607791,0.08106785,0.00007685251,0.0004605803,0.0001746233,0.007183836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009416623,"threshold_uncertainty_score":0.03743124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267373363647908,"score_gpt":0.2478993408639524,"score_spread":0.2352256072274733,"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."}}