{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001865706,0.0001509619,0.0001889595,0.0001457772,0.0009039412,0.0001532134,0.0009790307,0.0001171222,0.01053935],"category_scores_gemma":[0.000106728,0.0001055487,0.00004643977,0.0001377352,0.001119463,0.0004205807,0.0005127331,0.000609373,0.001354276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643148,"about_ca_system_score_gemma":0.0000102223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005799597,"about_ca_topic_score_gemma":0.00144273,"domain_scores_codex":[0.9973775,0.0002509204,0.0002421516,0.000586108,0.0007238343,0.0008194795],"domain_scores_gemma":[0.9990705,0.00009438946,0.00004333185,0.0006174771,0.00002523982,0.0001491035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007080486,0.000300427,0.9235563,0.00002994153,0.00005233261,0.0005242953,0.03195924,0.002748281,0.03474352,0.00006282461,0.001697111,0.003617645],"study_design_scores_gemma":[0.004317584,0.0006045927,0.4099928,0.0001517197,0.00002332892,0.00002288341,0.004964781,0.002400837,0.3167502,0.01499334,0.2448658,0.0009121257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952801,0.00002253893,0.00003401754,0.001792879,0.0000478105,0.0003149002,0.000004328189,0.00002945584,0.04495308],"genre_scores_gemma":[0.9953779,0.00002872242,0.0002328933,0.00006190064,0.0000307933,0.0000438407,0.00001950574,0.00001558544,0.004188835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5135636,"threshold_uncertainty_score":0.9994233,"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."}}