{"id":"W3094400713","doi":"10.1002/esp.5021","title":"Hillslope sediment fence catch efficiencies and particle sorting for post‐fire rain storms","year":2020,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"National Science Foundation","keywords":"Sediment; Surface runoff; Silt; Erosion; Hydrology (agriculture); Sorting; Environmental science; Geology; Storm; Sediment control; Sediment transport; Fence (mathematics); Sedimentary budget; Geomorphology; Geotechnical engineering; Oceanography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008480747,0.0002103788,0.0002374122,0.000530353,0.0002460641,0.0004590873,0.0002761682,0.000203838,0.0009326609],"category_scores_gemma":[0.002168082,0.0001612123,0.0003197445,0.0004303642,0.000191132,0.000417951,0.0002064006,0.0001655061,0.000125075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009756804,"about_ca_system_score_gemma":0.0003059451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308328,"about_ca_topic_score_gemma":0.03454406,"domain_scores_codex":[0.9997414,0.00004948672,0.00002035456,0.00007089659,0.00006880005,0.00004904526],"domain_scores_gemma":[0.998265,0.0006257923,0.0006300581,0.000125454,0.0002629631,0.00009078787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002121485,0.00003935503,0.9711887,0.00001656382,0.00006961547,0.00009393406,0.00007769003,0.01147194,0.01020692,0.00004409887,0.00008640203,0.006492679],"study_design_scores_gemma":[0.000002879069,0.00004469077,0.9858304,0.000001661152,0.000008833062,0.00003280638,0.00003490719,0.01196857,0.002000482,0.00001552473,0.00005498747,0.000004248136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993524,0.000008679405,0.000426459,0.000003247553,2.804229e-7,0.000004303703,0.00007387224,0.000007749459,0.0001230287],"genre_scores_gemma":[0.9993836,0.000008335278,0.0003573353,0.000003023298,3.752429e-7,0.000004447992,0.0001050879,0.000003549469,0.000134419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02308328,"threshold_uncertainty_score":0.04589784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00939619514855512,"score_gpt":0.2061710763822123,"score_spread":0.1967748812336572,"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."}}