{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619614,0.0001034585,0.000119811,0.00000303991,0.0006013869,0.0002325071,0.0001676984,0.0000534733,0.0002728566],"category_scores_gemma":[0.00005722704,0.00003408011,0.00003012168,0.00003773396,0.00004707924,0.0002197224,0.00005150024,0.00008170239,0.00001507146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001842934,"about_ca_system_score_gemma":0.000006349554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003040408,"about_ca_topic_score_gemma":0.0005711591,"domain_scores_codex":[0.9993435,0.000003985107,0.0001237864,0.0001951903,0.0001375964,0.00019596],"domain_scores_gemma":[0.9996728,0.000060085,0.00007719974,0.00005655192,0.00004022948,0.00009310046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008238076,0.00007016024,0.8939848,0.00009581832,0.00001874385,0.000008490536,0.0006239224,0.00001545455,0.02440669,0.00007188659,0.0001888295,0.08043283],"study_design_scores_gemma":[0.0004778275,0.0003238927,0.9128696,0.0004515202,0.00002210664,0.00001202786,0.001241366,0.0006025109,0.04100177,0.0003297588,0.04212487,0.0005427705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952374,0.0003212008,0.00001164296,0.001259017,0.0001029016,0.00008554135,0.000008737953,0.0000528754,0.002920713],"genre_scores_gemma":[0.9988084,0.0001957517,0.0000724698,0.0002672485,0.0000666714,0.00000258522,0.00001063735,8.032377e-7,0.0005753911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07989006,"threshold_uncertainty_score":0.4625443,"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."}}