{"id":"W2909859055","doi":"10.1029/2018jf004835","title":"The Growth of Dunes in Rivers","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flume; Sediment transport; Geology; Flow (mathematics); Constant (computer programming); Entrainment (biomusicology); Stage (stratigraphy); Sediment; Exponential growth; Series (stratigraphy); Geomorphology; Mechanics; Mathematics; Physics; Paleontology; Computer science; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001628554,0.00005927569,0.0001673853,0.00003389393,0.00007424685,0.00001083853,0.0003890134,0.00004309558,0.0005040816],"category_scores_gemma":[0.0001489212,0.0000362972,0.00006697002,0.0004171741,0.0004512108,0.0002352181,0.00006613325,0.000521978,0.000316081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001489133,"about_ca_system_score_gemma":0.00004873431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002813196,"about_ca_topic_score_gemma":0.0001232916,"domain_scores_codex":[0.9983268,0.000180604,0.000254866,0.0001029149,0.0008358224,0.0002989781],"domain_scores_gemma":[0.9989023,0.0007352667,0.00009247372,0.0001183942,0.00006839266,0.00008320827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005023891,0.0002596355,0.9450557,0.00002687414,0.00002564053,0.00004365494,0.0005155845,0.002643525,0.04850764,0.0005947266,0.0003467652,0.00147793],"study_design_scores_gemma":[0.00063096,0.0007171684,0.9670084,0.00003848652,0.000004360863,0.000004079266,0.0001440976,0.0004004692,0.02068892,0.004995631,0.005296683,0.00007075429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960015,0.00009699009,0.000006289097,0.0009114449,0.00005832786,0.00008901615,7.722297e-7,0.000001549887,0.002834116],"genre_scores_gemma":[0.9987727,0.00022226,0.00009560741,0.00001823285,0.00001776967,3.595886e-7,1.577351e-7,0.000003989299,0.000868969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02781872,"threshold_uncertainty_score":0.551934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017074644332814,"score_gpt":0.2852145415811849,"score_spread":0.268139897248371,"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."}}