{"id":"W2997184582","doi":"10.2514/6.2020-0310","title":"Direct Contactless Microfabrication of 2D and 3D Riblet Geometries for Drag Reduction","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Microfabrication; Drag; Aerospace; Materials science; Aerospace engineering; Reduction (mathematics); Mechanical engineering; Fabrication; Nanotechnology; Engineering","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":[0.0001828756,0.0004018318,0.0003316442,0.0002491256,0.0001994671,0.0005289607,0.0003670854,0.0005032567,0.002157131],"category_scores_gemma":[0.0004182025,0.000387552,0.000302631,0.0001942969,0.0002901667,0.0002789292,0.000312348,0.0005409727,0.000707755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147278,"about_ca_system_score_gemma":0.0002363539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002896514,"about_ca_topic_score_gemma":0.001339306,"domain_scores_codex":[0.999732,0.00001911265,0.00001128392,0.00005526152,0.0001399609,0.00004237622],"domain_scores_gemma":[0.999657,0.00009002065,0.00007444905,0.0001084446,0.00004774705,0.00002229073],"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":[0.00001844327,0.00002341855,0.000164828,0.00006062121,0.00000444248,0.000137166,0.00005889398,0.001655262,0.9909142,0.0005313704,0.0003219969,0.006109294],"study_design_scores_gemma":[0.00001204852,0.0002319369,0.002518913,0.000008553438,0.000008466149,0.0004294013,0.00003832738,0.01504788,0.9753131,0.0001497016,0.006218984,0.00002264337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573839,0.0009656327,0.1217993,0.0001802264,0.000265513,0.0001813016,0.0006727779,0.001445748,0.0171056],"genre_scores_gemma":[0.8639465,0.0004428257,0.1291591,0.00009763445,0.00002339614,0.00009430604,0.0003193788,0.0001377337,0.00577912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002157131,"threshold_uncertainty_score":0.007216275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043969058160269,"score_gpt":0.2206897934806457,"score_spread":0.2102501028990431,"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."}}