{"id":"W2079679675","doi":"10.1016/j.cageo.2008.02.007","title":"Sedtrans05: An improved sediment-transport model for continental shelves and coastal waters with a new algorithm for cohesive sediments","year":2008,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Bedford Institute of Oceanography","funders":"","keywords":"Sediment transport; Bed load; Settling; Flume; Geology; Sediment; Geotechnical engineering; Soil science; Deposition (geology); Seabed; Erosion; Algorithm; Geomorphology; Flow (mathematics); Environmental science; Mechanics; Computer science; Oceanography","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":[0.0005044306,0.001442902,0.001235052,0.0005843279,0.0007379224,0.001305181,0.00399359,0.001693118,0.005505702],"category_scores_gemma":[0.001621649,0.0008877783,0.001297649,0.0008316748,0.0005260134,0.00176096,0.001441325,0.001611975,0.001747431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063609,"about_ca_system_score_gemma":0.002079993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02738106,"about_ca_topic_score_gemma":0.03093021,"domain_scores_codex":[0.9998354,0.00002882223,0.00001291503,0.00003162172,0.00006923846,0.00002201291],"domain_scores_gemma":[0.9995857,0.00008857644,0.00003359441,0.00007405922,0.0001697232,0.00004835763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008917088,0.0000634166,0.001561603,0.00006300121,0.00009750106,0.0001392703,0.00006512009,0.9490229,0.002018747,0.005286907,0.008224371,0.03336793],"study_design_scores_gemma":[0.00002653591,0.00000885928,0.00009477894,0.000002985865,0.000008789339,0.0000107448,0.000003932121,0.9956546,0.0006650048,0.0007812284,0.002733811,0.000008796525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08117973,0.0003390451,0.8835358,0.0002895082,0.0006280692,0.0001455299,0.004050166,0.02117741,0.008654749],"genre_scores_gemma":[0.3630164,0.0003264695,0.6114218,0.0003100678,0.0001808777,0.0004223028,0.005888369,0.004170666,0.01426299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02738106,"threshold_uncertainty_score":0.05444336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236413179688001,"score_gpt":0.1999811513908443,"score_spread":0.1876170195939643,"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."}}