{"id":"W2283125475","doi":"10.1139/cjce-2015-0280","title":"Estimation of maximum scour depth near a spur dike","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dike; Spur; Geology; Geotechnical engineering; Erosion; Bank erosion; Bridge scour; River bed; Flow (mathematics); Bank; Channel (broadcasting); Hydraulic structure; Hydrology (agriculture); Geomorphology; Engineering; Geometry; Civil engineering; Mathematics; Pier","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002381254,0.00006696339,0.0001232155,0.00006869568,0.00002713181,0.00001023991,0.0001387904,0.0000449603,0.000446318],"category_scores_gemma":[0.00006650754,0.00006482169,0.00003267456,0.00012871,0.00005573917,0.0002144001,0.000004275487,0.0001158254,0.00001806597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008368367,"about_ca_system_score_gemma":0.0001875377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009193181,"about_ca_topic_score_gemma":0.03986702,"domain_scores_codex":[0.9994344,0.000006012559,0.0002020366,0.00005425212,0.0001366435,0.0001667235],"domain_scores_gemma":[0.9994502,0.00001099713,0.00007187494,0.00006161581,0.00001530833,0.0003900152],"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":[0.000004847033,0.000005483462,0.02050053,0.00001421937,0.00001167133,0.00006666018,0.0005998574,0.9765267,0.0001829683,0.00002206799,0.0005389393,0.001526069],"study_design_scores_gemma":[0.003560049,0.001149349,0.2641435,0.0006442601,0.0002742191,0.001087414,0.0003569944,0.6175212,0.008384085,0.003540548,0.09819674,0.001141642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705726,0.0003437195,0.02451058,0.0002071618,0.000266848,0.00004081308,0.000002454677,0.00000675849,0.004049073],"genre_scores_gemma":[0.9987335,0.000003307633,0.001167374,0.00003526433,0.00002584535,4.880288e-7,9.330357e-7,0.000007797999,0.00002549976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3590055,"threshold_uncertainty_score":0.9776529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009722887532110234,"score_gpt":0.190345979281128,"score_spread":0.1806230917490178,"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."}}