{"id":"W1553011635","doi":"10.1002/hyp.8462","title":"Estimating suspended sediment concentrations in areas with limited hydrological data using a mixed‐effects model","year":2012,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Akaike information criterion; Rating curve; Sediment; Mixed model; Hydrology (agriculture); Environmental science; STREAMS; Watershed; Statistics; Mathematics; Soil science; Geology; Geotechnical engineering; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00435406,0.001471566,0.001534548,0.001886553,0.0007655709,0.001839751,0.002958843,0.001695523,0.001842206],"category_scores_gemma":[0.006262761,0.001369818,0.003346506,0.001414815,0.000774386,0.001120342,0.00103855,0.001270826,0.0004618299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804107,"about_ca_system_score_gemma":0.00179809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1031568,"about_ca_topic_score_gemma":0.08219747,"domain_scores_codex":[0.9985418,0.0006601767,0.00008311924,0.0005020518,0.00009853152,0.0001142801],"domain_scores_gemma":[0.9955514,0.003311885,0.0003034796,0.0002894348,0.0004083453,0.0001354219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000311035,0.0002086687,0.03652721,0.00005641747,0.001025523,0.000178724,0.0001125943,0.94608,0.001262295,0.001585989,0.0003758839,0.01227567],"study_design_scores_gemma":[0.00001599643,0.00003158233,0.002784461,0.000003260838,0.00005588167,0.000008537713,0.000009715308,0.9963669,0.0001350683,0.0004227571,0.0001529442,0.00001289194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327747,0.0003647801,0.2627112,0.0003620222,0.00007463156,0.0001207954,0.001572572,0.001125011,0.0008943241],"genre_scores_gemma":[0.9453279,0.0001497015,0.05041563,0.00006339419,0.0000385398,0.0002352253,0.001470543,0.00006957931,0.002229493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031568,"threshold_uncertainty_score":0.2051126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060486170849852,"score_gpt":0.2797819307743928,"score_spread":0.2192957599245408,"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."}}