{"id":"W4367300944","doi":"10.1016/j.catena.2023.107173","title":"Modelling fire-induced perturbations in sediment flux based on stream widening and accelerated bank migration","year":2023,"lang":"en","type":"article","venue":"CATENA","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Sediment; Environmental science; Erosion; Sedimentary budget; Surface runoff; Bedrock; Watershed; Drainage basin; Geology; Stream power; Sediment transport; Biogeochemical cycle; Bed load; Bank erosion; Flux (metallurgy); Geomorphology; Ecology; Geography","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":[0.0004273788,0.0005546197,0.0004293022,0.0004994313,0.0004180149,0.001101416,0.0007625987,0.001535917,0.001929372],"category_scores_gemma":[0.001823072,0.0005477345,0.0006764921,0.0005159208,0.0005895649,0.0007249795,0.0003993151,0.0008531982,0.0001022761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283246,"about_ca_system_score_gemma":0.0009839957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07472776,"about_ca_topic_score_gemma":0.06053,"domain_scores_codex":[0.999916,0.00001605808,0.000007250843,0.00002943234,0.00000741105,0.00002382494],"domain_scores_gemma":[0.9993356,0.0003199139,0.0000984933,0.00004698769,0.00007595861,0.0001229061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009175083,0.00005620781,0.007902879,0.00001329052,0.00003370943,0.00006206916,0.00001692684,0.9894478,0.001108591,0.0003631052,0.00009135836,0.0008122892],"study_design_scores_gemma":[0.00001349037,0.00001238849,0.002843619,0.000001973352,0.000007321698,0.00000585432,0.000009832906,0.9967986,0.0001867349,0.00007601111,0.00003965784,0.000004612314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957187,0.0000529263,0.002372032,0.00009474574,0.00003204793,0.00001030089,0.0001607357,0.00005388101,0.001504639],"genre_scores_gemma":[0.9986424,0.00003052037,0.000718525,0.00001110754,0.000004619317,0.000006141432,0.0000570276,0.00001095094,0.0005186629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07472776,"threshold_uncertainty_score":0.1485856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285492059884575,"score_gpt":0.2365694512397994,"score_spread":0.2080202452513419,"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."}}