{"id":"W2784005987","doi":"10.2166/wst.2018.009","title":"Numerical modeling on sediment capture in catch basins","year":2018,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sediment; Sump (aquarium); Structural basin; Inflow; Surface runoff; Hydraulics; Environmental science; Geology; Hydrology (agriculture); Sediment transport; Geotechnical engineering; Geomorphology; Engineering; Oceanography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003870846,0.0001372629,0.0001374568,0.0003109792,0.0002680288,0.00001412417,0.0007309224,0.0001746454,0.0008101808],"category_scores_gemma":[0.00001505418,0.00009460237,0.00001776964,0.001137938,0.001834177,0.0002389101,0.0001463045,0.0002629106,0.001169587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472805,"about_ca_system_score_gemma":0.00002463881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182799,"about_ca_topic_score_gemma":0.0002036643,"domain_scores_codex":[0.9982353,0.00001143917,0.0001852141,0.0006023092,0.0003046341,0.0006611313],"domain_scores_gemma":[0.9995636,0.000004708669,0.0000190443,0.000327436,0.00001299649,0.00007224274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002008652,0.001240864,0.4196977,0.00001792849,0.00001272244,0.0002734986,0.01524227,0.1183945,0.4254439,0.003327308,0.0003880317,0.01576046],"study_design_scores_gemma":[0.0006752789,0.0008714372,0.002566962,0.0000279949,0.00001017466,0.00005315487,0.0003348613,0.1044597,0.8653847,0.01079368,0.01424924,0.0005728073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837191,0.000009055269,0.00311266,0.005563292,0.0001720045,0.0001181886,7.233103e-7,0.0001291616,0.007175779],"genre_scores_gemma":[0.9983265,0.000003273922,0.0005867514,0.000921352,0.00001912952,0.00002169974,0.000001187843,0.000006764528,0.0001133083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399408,"threshold_uncertainty_score":0.9996081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009085163228473286,"score_gpt":0.2271928524662034,"score_spread":0.2181076892377302,"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."}}