{"id":"W2296502156","doi":"10.1002/2015wr017348","title":"Use of ADCPs for suspended sediment transport monitoring: An empirical approach","year":2016,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Silt; Acoustic Doppler current profiler; Sediment; Calibration; Backscatter (email); Sediment transport; Environmental science; Hydrology (agriculture); Flux (metallurgy); Geology; Soil science; Grain size; Remote sensing; Current (fluid); Oceanography; Geomorphology; Geotechnical engineering; Materials science; Statistics","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":[0.004382485,0.0009064621,0.0003386405,0.001678549,0.0005142623,0.001196942,0.001638029,0.0008281388,0.00117122],"category_scores_gemma":[0.0271734,0.0003848879,0.0003350884,0.001494795,0.0009835027,0.001460556,0.0006582669,0.0006817582,0.0002612989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179317,"about_ca_system_score_gemma":0.0009857311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02842163,"about_ca_topic_score_gemma":0.0236666,"domain_scores_codex":[0.9984447,0.0006708934,0.0001155826,0.0003119983,0.0003900924,0.0000667414],"domain_scores_gemma":[0.9769205,0.01545541,0.001660369,0.001961198,0.003867192,0.0001353874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002629139,0.0007616159,0.4663547,0.000390265,0.0003066385,0.0008141692,0.0005536165,0.3196867,0.01052247,0.01257411,0.001646569,0.1861262],"study_design_scores_gemma":[0.00001914564,0.0002195007,0.05104444,0.00007313024,0.00007472716,0.0003673877,0.0002991305,0.9383361,0.005215441,0.002388793,0.001921851,0.00004035555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185677,0.0005908218,0.07256571,0.0003147863,0.00001455732,0.0001438688,0.0004072092,0.0001958405,0.007199493],"genre_scores_gemma":[0.9775778,0.0002505271,0.02104963,0.00002367394,0.000007208545,0.00003870842,0.0001742122,0.00002069286,0.000857521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02842163,"threshold_uncertainty_score":0.05651242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1533026800889282,"score_gpt":0.35970085524843,"score_spread":0.2063981751595018,"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."}}