{"id":"W4292377232","doi":"10.1111/sed.13033","title":"Sediment density flow distribution on wave‐influenced deltas","year":2022,"lang":"en","type":"article","venue":"Sedimentology","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Natural Resources Canada; Université Laval; Bedford Institute of Oceanography; Université du Québec à Rimouski; Geological Survey of Canada","funders":"Natural Resources Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Geology; Sediment; Turbidity current; Fluvial; River delta; Sediment transport; Geomorphology; Submarine pipeline; Sedimentary budget; Delta; Sedimentary rock; Turbidite; River mouth; Debris; Debris flow; Oceanography; Sedimentary depositional environment; Geochemistry; Structural basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00007364841,0.0001768368,0.0001149012,0.00214577,0.0005039133,0.0005095289,0.0002265264,0.0001153334,0.001199129],"category_scores_gemma":[0.0003287742,0.0001123464,0.0001199541,0.00148947,0.0005231361,0.0001205827,0.000330216,0.000105223,0.0001119499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002827563,"about_ca_system_score_gemma":0.001336192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5037808,"about_ca_topic_score_gemma":0.612057,"domain_scores_codex":[0.9999059,0.000004981932,0.000006722258,0.00001595265,0.00002959538,0.00003685875],"domain_scores_gemma":[0.9995721,0.00003413017,0.00006477028,0.00001248898,0.000217318,0.00009915794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948245,0.00001925236,0.9796731,0.00002112044,0.00002390743,0.0002167968,0.001020162,0.0009654062,0.005608553,0.0002505617,0.0001371932,0.01186904],"study_design_scores_gemma":[0.000001880413,0.00001386017,0.998384,0.000003742317,0.000004736763,0.00003218738,0.0004152859,0.0004652161,0.0003934543,0.00001628446,0.0002664549,0.000002917976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990237,0.0000207391,0.00004813734,0.000002718498,3.976786e-7,0.000005138593,0.0002777869,0.000005379029,0.000616123],"genre_scores_gemma":[0.9983954,0.00004865084,0.0001170229,0.00000229294,6.12911e-7,0.000004464961,0.0005482271,0.000001921158,0.0008815068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5037808,"threshold_uncertainty_score":0.998283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525607268894327,"score_gpt":0.2139252359554825,"score_spread":0.1986691632665392,"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."}}