{"id":"W1869582904","doi":"10.1002/2016wr019187","title":"Representative point‐integrated suspended sediment sampling in rivers","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":31,"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":"Sediment; Sampling (signal processing); Environmental science; Sample size determination; Hydrology (agriculture); Bottle; Range (aeronautics); Grain size; Soil science; Statistics; Geology; Mathematics; Geography; Geotechnical engineering; Geomorphology","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":[0.000609867,0.0001717432,0.0003820815,0.0006422541,0.0003882628,0.0005636044,0.0004719761,0.0002938863,0.0002726463],"category_scores_gemma":[0.001058908,0.0001955844,0.0002325116,0.001137263,0.0002534699,0.0002988532,0.0002787237,0.0002101384,0.00008937738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665827,"about_ca_system_score_gemma":0.0004370183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.026623,"about_ca_topic_score_gemma":0.04106102,"domain_scores_codex":[0.9994829,0.00006993355,0.00002869454,0.0001376428,0.0002487538,0.00003203801],"domain_scores_gemma":[0.9994318,0.000119689,0.00009482284,0.00005360858,0.0002765315,0.00002356002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000777201,0.0002358533,0.4914604,0.0003080248,0.0003355227,0.000558151,0.001039169,0.07922229,0.3400189,0.0008264559,0.0007961073,0.08442188],"study_design_scores_gemma":[0.00003215939,0.000681125,0.7215158,0.00003501191,0.0001267215,0.0003584513,0.0006626138,0.1778418,0.09491557,0.0007298344,0.003002235,0.00009856901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770413,0.0001369611,0.02173477,0.000009123381,0.000003675858,0.00003108905,0.0003503894,0.0001695232,0.0005231308],"genre_scores_gemma":[0.9892651,0.00008085255,0.009718986,0.000008587749,0.00000314814,0.00003872632,0.0005536066,0.00001632271,0.0003146625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.026623,"threshold_uncertainty_score":0.05293608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07211288148654632,"score_gpt":0.3585770599092517,"score_spread":0.2864641784227054,"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."}}