{"id":"W4391309929","doi":"10.31223/x5km4d","title":"Flow dynamics and tributary mouth bar formation at river confluences with high rates of tributary sediment supply","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Tributary; Hydrology (agriculture); Sediment; Bar (unit); Geology; River mouth; Flow (mathematics); Environmental science; Geomorphology; Geography; Geotechnical engineering; Oceanography; Cartography; Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001627068,0.0001645673,0.000238642,0.001421988,0.0003375006,0.0005503223,0.0001522486,0.0002832626,0.001098307],"category_scores_gemma":[0.0005609872,0.0001676446,0.0001647004,0.00087565,0.0005162949,0.0002708849,0.0004162869,0.0002219256,0.0002008731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897451,"about_ca_system_score_gemma":0.0001887609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009282473,"about_ca_topic_score_gemma":0.01741803,"domain_scores_codex":[0.9998411,0.00001787447,0.00001261867,0.00005667729,0.00003627114,0.00003543038],"domain_scores_gemma":[0.9996442,0.00006999955,0.0001114647,0.00002963408,0.00008911458,0.00005558235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001356991,0.0000548409,0.9196904,0.00003426022,0.00002397035,0.0007665733,0.001188995,0.001070741,0.06541173,0.0001700115,0.0001165061,0.01133626],"study_design_scores_gemma":[0.000002665774,0.00003216849,0.9975617,0.000002219898,0.000005329903,0.00009951176,0.0001911616,0.0008928351,0.001064401,0.0000198729,0.000122761,0.000005438987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993659,0.00001829888,0.0002036902,0.000003562626,8.116753e-7,0.000004079004,0.00005794916,0.00001522204,0.0003304529],"genre_scores_gemma":[0.999597,0.00001104087,0.0002100327,0.00000132797,0.0000011923,0.000003558974,0.00007946334,0.00000243504,0.00009406467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009282473,"threshold_uncertainty_score":0.01845688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005849432500075062,"score_gpt":0.2044749055749883,"score_spread":0.1986254730749133,"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."}}