{"id":"W3197480329","doi":"10.1002/esp.5235","title":"Anthropogenic sediment traps and network dislocation in a lowland UK river","year":2021,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Ontario Water Consortium; UK Research and Innovation; Environment Agency; Directorate for Biological Sciences; University of Northampton","keywords":"Sediment; Hydrology (agriculture); Environmental science; STREAMS; Drainage basin; Floodplain; Wetland; Debris; Geology; Flood myth; Sediment trap; Irrigation; Geomorphology; Ecology; Geography; Geotechnical engineering; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000159244,0.0001300816,0.0001649737,0.00001098616,0.0001437163,0.0000283909,0.00004961496,0.00007681537,0.0009438304],"category_scores_gemma":[0.00001087085,0.00009851939,0.00001386458,0.00028078,0.0001924446,0.0002256906,0.00004250942,0.0001054119,0.00001918468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007240317,"about_ca_system_score_gemma":0.00003001394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001345977,"about_ca_topic_score_gemma":0.002222457,"domain_scores_codex":[0.9991087,0.0000151947,0.0001638191,0.000313505,0.0001328094,0.0002660211],"domain_scores_gemma":[0.9997491,0.00003551982,0.0000377198,0.00008403024,0.00001137483,0.00008226906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000420658,0.00005783711,0.9928144,0.00009814037,0.00001190651,0.00002492527,0.001208575,0.002812365,0.0001775182,0.00001805495,0.00004870215,0.002685481],"study_design_scores_gemma":[0.001435593,0.0001526826,0.9763021,0.00008798116,0.00003530898,0.00004947143,0.0002809906,0.001517972,0.00372574,0.001864732,0.01417566,0.0003717792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943599,0.004113326,0.0003198784,0.0003556282,0.00004286571,0.0001152106,0.000004653509,0.00001871344,0.0006698098],"genre_scores_gemma":[0.9963815,0.002565512,0.0004143564,0.0002092025,0.00002062357,0.000006335519,0.0000267706,0.000007093164,0.000368653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651234,"threshold_uncertainty_score":0.9999694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005837489665516742,"score_gpt":0.2058569904251945,"score_spread":0.2000195007596778,"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."}}