{"id":"W4250532531","doi":"10.5194/esurf-2019-67","title":"Entrainment and suspension of sand and gravel","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Froude number; Flume; Settling; Sediment; Entrainment (biomusicology); Geology; Bed load; Hydrology (agriculture); Suspended load; Dimensionless quantity; Soil science; Geotechnical engineering; Sediment transport; Environmental science; Flow (mathematics); Geomorphology; Mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002726039,0.0002330565,0.0002166634,0.0008530953,0.0001975149,0.000347577,0.0002142212,0.00012298,0.000488551],"category_scores_gemma":[0.0006594345,0.0001083651,0.0002301797,0.000360259,0.0001626944,0.0002436267,0.0002641903,0.0001421014,0.0001122484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369866,"about_ca_system_score_gemma":0.0001769008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662746,"about_ca_topic_score_gemma":0.01270274,"domain_scores_codex":[0.9998097,0.00001559034,0.00001367205,0.00007408317,0.00006672182,0.00002023572],"domain_scores_gemma":[0.9996461,0.0001274568,0.00009721795,0.00002155759,0.00007242988,0.00003517228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003641307,0.00009303678,0.5404162,0.0001488951,0.0001722722,0.0002933514,0.0003052034,0.01365263,0.3957481,0.0004179133,0.0001675501,0.04822065],"study_design_scores_gemma":[0.00000500435,0.0001976283,0.8923045,0.000008371267,0.00003163241,0.00007836949,0.00006985739,0.03351904,0.07299462,0.0001268091,0.0006458748,0.00001832824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981613,0.00008215263,0.001107212,0.000002978768,0.000001358281,0.000007160372,0.0002415848,0.0000234922,0.0003729087],"genre_scores_gemma":[0.9978109,0.00005255536,0.001262734,0.000003630209,9.743275e-7,0.00001040097,0.0004740432,0.000007188547,0.0003776727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006662746,"threshold_uncertainty_score":0.01324797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009386727948205862,"score_gpt":0.213795770273906,"score_spread":0.2044090423257001,"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."}}