{"id":"W4285043391","doi":"10.5194/esurf-2022-40","title":"Coupling between downstream variations of channel width and local pool-riffle bed topography","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Riffle; Flume; Channel (broadcasting); Scaling; Geology; Coupling (piping); Geometry; Hydrology (agriculture); Geomorphology; Mechanics; Physics; Flow (mathematics); Geotechnical engineering; Mathematics; Materials science; Computer science; STREAMS","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615943,0.00009377478,0.0001721346,0.0001330776,0.0000837354,0.0001927732,0.00009653916,0.0001092527,0.001100256],"category_scores_gemma":[0.0005013327,0.00009265772,0.00006199011,0.00008292678,0.0002704923,0.0001860233,0.0001596761,0.000161098,0.0001059322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317837,"about_ca_system_score_gemma":0.0001090132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177065,"about_ca_topic_score_gemma":0.002633711,"domain_scores_codex":[0.9999455,0.000009051393,0.000002770988,0.00002189319,0.000007734878,0.0000130048],"domain_scores_gemma":[0.99977,0.00008217508,0.00004348436,0.00003768652,0.0000354951,0.00003111655],"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":[0.000614311,0.0001571544,0.2858107,0.00007751992,0.0000672483,0.0001394793,0.0002798202,0.01859108,0.6734599,0.0006660586,0.0002726033,0.01986395],"study_design_scores_gemma":[0.00001415802,0.000264233,0.9563718,0.000003086625,0.00001658287,0.00006157975,0.0001095074,0.02181899,0.02076144,0.000338604,0.0002259512,0.00001402287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992226,0.00000427169,0.0005078619,0.00000332585,5.422444e-7,0.000001807625,0.00004109825,0.000008428901,0.000209925],"genre_scores_gemma":[0.9998052,0.000001567221,0.0000987214,0.000001275782,2.439865e-7,0.000001315905,0.00001773989,0.000001097864,0.00007292107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177065,"threshold_uncertainty_score":0.003680706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242335692092432,"score_gpt":0.2312200999449571,"score_spread":0.2187967430240328,"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."}}