{"id":"W2774413152","doi":"10.1061/(asce)hy.1943-7900.0001369","title":"CFD Methodology to Determine the Hydrodynamic Roughness of a Surface with Application to Viscous Oil Coatings","year":2017,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface roughness; Surface finish; Computational fluid dynamics; Materials science; Lubrication; Coating; Reynolds number; Turbulence; Mechanics; Composite material; Geotechnical engineering; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001593508,0.0001421153,0.0003572573,0.00007856847,0.000139557,0.00007394263,0.0007481746,0.00004670252,0.00001984727],"category_scores_gemma":[0.0005591313,0.00009445538,0.00005967197,0.000126286,0.0000507768,0.0001900892,0.00009093688,0.0001467535,0.00002152898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005855096,"about_ca_system_score_gemma":0.00004631707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479551,"about_ca_topic_score_gemma":0.00003528879,"domain_scores_codex":[0.9987849,0.00007727707,0.0004509205,0.0001694996,0.0003063296,0.0002110492],"domain_scores_gemma":[0.9984313,0.0002646645,0.0004172841,0.0005651311,0.0001918073,0.000129759],"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":[0.00004146501,0.00001421654,0.0001225588,0.00001797557,0.000006326906,0.000004138106,0.0006008009,0.3417699,0.6562662,0.00002349755,0.0000114039,0.001121536],"study_design_scores_gemma":[0.0006354635,0.0003402824,0.00772973,0.000172573,0.00005717967,0.0002794479,0.0002172427,0.1278005,0.8605303,0.00002465743,0.001908723,0.0003038463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616706,0.0000332365,0.2366822,0.001230735,0.0001841329,0.00008689662,0.000002388132,0.00001235868,0.00009747096],"genre_scores_gemma":[0.9615386,0.000006782745,0.03814777,0.0001209489,0.00006876163,0.000007770283,2.487104e-7,0.00002020721,0.00008890544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139694,"threshold_uncertainty_score":0.3851779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786312317029733,"score_gpt":0.2808785148744732,"score_spread":0.2530153917041759,"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."}}