{"id":"W2037322781","doi":"10.1016/j.geomorph.2013.04.024","title":"Evaluating the effectiveness of wood shred and agricultural straw mulches as a treatment to reduce post-wildfire hillslope erosion in southern British Columbia, Canada","year":2013,"lang":"en","type":"article","venue":"Geomorphology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Forests","funders":"Rocky Mountain Research Station; U.S. Forest Service; Joint Fire Science Program; U.S. Department of the Interior","keywords":"Surface runoff; Mulch; Sediment; Environmental science; Hydrology (agriculture); Erosion; Rill; Straw; Vegetation (pathology); Erosion control; Soil water; Geology; Soil science; Agronomy; Ecology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001006036,0.0005577948,0.0006223746,0.0003685289,0.001767624,0.0007766529,0.001653507,0.0005904686,0.001559821],"category_scores_gemma":[0.001821362,0.0002758879,0.0004105424,0.0005820062,0.0007731859,0.0002332012,0.0002979156,0.0007812369,0.0001038815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02577446,"about_ca_system_score_gemma":0.03241187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681078,"about_ca_topic_score_gemma":0.9945396,"domain_scores_codex":[0.9991544,0.0002768389,0.00005339388,0.00009988836,0.0001833392,0.0002321903],"domain_scores_gemma":[0.9981807,0.0002651875,0.0001658028,0.00004681743,0.0005723599,0.0007692017],"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":[0.1788279,0.07881235,0.2727868,0.003028566,0.003516432,0.0008395207,0.003804603,0.0159233,0.02231536,0.0008383918,0.0099246,0.4093822],"study_design_scores_gemma":[0.01577726,0.07172061,0.887753,0.0004547009,0.002262001,0.000119966,0.004670849,0.005561907,0.004774042,0.0002476307,0.006551594,0.0001064374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974353,0.0005681965,0.00004049847,0.0001974025,0.00002275403,0.0002671969,0.0001645507,0.000006582494,0.001297613],"genre_scores_gemma":[0.9957253,0.001009131,0.0005162063,0.0001765705,0.0000124043,0.0001456485,0.0001914961,0.000003036974,0.002220165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03189218,"threshold_uncertainty_score":0.1870077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00797633214226134,"score_gpt":0.2223879608532584,"score_spread":0.2144116287109971,"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."}}