{"id":"W2606036591","doi":"10.1002/esp.4165","title":"Interpreting sediment yield scaling","year":2017,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sediment; Scaling; Homogeneous; Hydrology (agriculture); Yield (engineering); Environmental science; Drainage; Scale (ratio); Geology; Soil science; Mathematics; Geotechnical engineering; Geomorphology; Ecology; Geography; Geometry; Cartography","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":[0.002259078,0.0007236528,0.0005032499,0.002646247,0.0004854255,0.002876174,0.0007240539,0.0006005779,0.0046932],"category_scores_gemma":[0.01830511,0.0002493766,0.0004611399,0.002790214,0.001859257,0.002037042,0.001898404,0.0007238304,0.0007029347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073177,"about_ca_system_score_gemma":0.0003520901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247362,"about_ca_topic_score_gemma":0.0005061066,"domain_scores_codex":[0.9990043,0.0002884746,0.00009777868,0.0002496211,0.0003068914,0.00005299168],"domain_scores_gemma":[0.9956439,0.002116514,0.0006699423,0.0008318236,0.0006340485,0.0001038529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003199733,0.0001269259,0.07078462,0.0009263398,0.0001851356,0.003145704,0.003295187,0.1262777,0.05163047,0.4432521,0.01057407,0.2894816],"study_design_scores_gemma":[0.00004590856,0.0001975149,0.07919366,0.0002469538,0.0001601677,0.001863343,0.00207295,0.3723596,0.02127908,0.4766875,0.04572272,0.0001706295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5444285,0.002166117,0.376382,0.001411104,0.0005977502,0.0001700676,0.001277028,0.002866209,0.07070121],"genre_scores_gemma":[0.9673712,0.0005750751,0.02977703,0.000114922,0.0001836016,0.00005090925,0.0003188684,0.0003372627,0.001271218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0046932,"threshold_uncertainty_score":0.01570034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382502623305883,"score_gpt":0.2279876240831907,"score_spread":0.2041625978501319,"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."}}