{"id":"W2169105525","doi":"10.1029/2011jf002120","title":"Using multiple bed load measurements: Toward the identification of bed dilation and contraction in gravel‐bed rivers","year":2011,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bed load; Geology; Bedform; Fluvial; Sediment transport; Flood myth; River bed; Geotechnical engineering; Sediment; Hydrology (agriculture); Dilation (metric space); Stream bed; Environmental science; Geomorphology; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001728909,0.00007567475,0.0001617781,0.00001551418,0.0001105969,0.00001592891,0.0001978241,0.00005977743,0.000190823],"category_scores_gemma":[0.0004277354,0.00005291215,0.00004965905,0.0002764231,0.0004278402,0.0004777387,0.00002969055,0.0003222266,0.000009832438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343024,"about_ca_system_score_gemma":0.00005452821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223233,"about_ca_topic_score_gemma":0.0004486231,"domain_scores_codex":[0.998142,0.0002202264,0.0004315312,0.0001373076,0.0008627297,0.0002061909],"domain_scores_gemma":[0.99921,0.0002087153,0.0002611266,0.00009963646,0.0001485466,0.0000719644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001043978,0.0004536273,0.4638944,0.00002703359,0.00005823708,0.00001124132,0.004092171,0.0005843355,0.5227142,0.00003710597,0.00003225515,0.00705141],"study_design_scores_gemma":[0.001014465,0.0002880027,0.8542792,0.00004442041,0.00003371485,0.000004177488,0.0006715454,0.003508467,0.1355367,0.004497654,0.0000459275,0.00007581306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987713,0.00009110245,0.0005973989,0.0001494985,0.00004691365,0.0001702946,0.000001140631,0.000002583478,0.000169785],"genre_scores_gemma":[0.9993625,0.00006688975,0.0005093994,0.00001167929,0.00002788283,0.000003083778,6.273621e-7,0.0000051976,0.00001270603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903847,"threshold_uncertainty_score":0.3360878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136149997294371,"score_gpt":0.328964454914402,"score_spread":0.2153494551849649,"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."}}