{"id":"W1997646746","doi":"10.5194/hess-4-425-2000","title":"Flow modelling to estimate suspended sediment travel times for two Canadian Deltas","year":2000,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Sediment transport; Hydrology (agriculture); Channel (broadcasting); Flow (mathematics); Delta; Geology; River delta; Environmental science; Streamflow; Geomorphology; Geotechnical engineering; Geography; Drainage basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268801,0.0005712062,0.0002648389,0.001284635,0.001038266,0.0006107818,0.0005784376,0.0003426531,0.0009236109],"category_scores_gemma":[0.001094874,0.0002414696,0.0003437721,0.001123313,0.000287229,0.000285757,0.0001876836,0.0003170886,0.00009004979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00987923,"about_ca_system_score_gemma":0.00765584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586853,"about_ca_topic_score_gemma":0.9503345,"domain_scores_codex":[0.9999137,0.000006178359,0.000003930172,0.00001744203,0.00003767854,0.00002107311],"domain_scores_gemma":[0.9996754,0.00008017187,0.00003069955,0.00001190426,0.0001713705,0.00003041832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002341218,0.0001100806,0.09197407,0.0000755162,0.00006946582,0.0001452882,0.0002839471,0.8547679,0.00501018,0.001775533,0.0009729128,0.04458101],"study_design_scores_gemma":[0.00001777849,0.00002512135,0.06091917,0.000007463665,0.00002069311,0.00001704742,0.00008895564,0.9362558,0.001552791,0.0002184044,0.0008549365,0.00002184661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854391,0.00006323636,0.01191355,0.00005348514,0.000007001439,0.00004500211,0.001069116,0.0002150215,0.001194426],"genre_scores_gemma":[0.9892321,0.00006426308,0.008661265,0.000005869112,0.000001576598,0.00003535473,0.0009405472,0.00001460924,0.001044472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04131466,"threshold_uncertainty_score":0.08311588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454262056101324,"score_gpt":0.2427994871563237,"score_spread":0.2282568665953104,"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."}}