{"id":"W4376631687","doi":"10.1016/j.catena.2023.107199","title":"The influence of coarse particle abundance and spatial distribution on sediment transport and cluster evolution in steep channels under sediment-starved conditions","year":2023,"lang":"en","type":"article","venue":"CATENA","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Key Research and Development Program of China; China Scholarship Council; Canada Foundation for Innovation","keywords":"Flume; Sediment; Stream power; Spatial distribution; Sediment transport; Hydrology (agriculture); Channel (broadcasting); Geology; Flow (mathematics); Soil science; Environmental science; Geomorphology; Geotechnical engineering; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028976,0.00009178642,0.00009765469,0.00001637065,0.0001768192,0.000007323006,0.00006762869,0.00005522873,0.00003679688],"category_scores_gemma":[0.00000925886,0.00007068128,0.00001497815,0.0001910775,0.0004363417,0.0001553513,0.00002102353,0.00008649062,0.00002772869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005430919,"about_ca_system_score_gemma":0.00001061832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004038635,"about_ca_topic_score_gemma":0.0006359988,"domain_scores_codex":[0.9991734,0.00003712858,0.0001994646,0.0002117766,0.0001562024,0.0002220525],"domain_scores_gemma":[0.9997071,0.00007528652,0.0000498975,0.0001020636,0.000008274554,0.00005734784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005999298,0.0003309356,0.6507186,0.00007786981,0.00005421246,0.00002469121,0.00306048,0.3111936,0.02993224,0.00247168,0.0002528355,0.001282933],"study_design_scores_gemma":[0.0007184302,0.0001445218,0.9848836,0.00002292525,0.00001867478,0.000001780293,0.0001475255,0.008681335,0.003443087,0.001593543,0.0002490248,0.00009552106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978893,0.00004721269,0.000360767,0.001304486,0.00005675325,0.000241788,0.0000431195,0.00002477999,0.00003175899],"genre_scores_gemma":[0.9995641,0.00009045666,0.000002514559,0.0001360123,0.000008124315,0.00004569563,0.00006756916,0.000004950473,0.00008056266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.334165,"threshold_uncertainty_score":0.2882299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009210482765222171,"score_gpt":0.224700674804133,"score_spread":0.2154901920389108,"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."}}