{"id":"W4407414779","doi":"10.2514/6.2025-1676","title":"Drag Reducing Functional Surface With 60 Degree Riblets: Modelling, Microfabrication, and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; National Research Council Canada","funders":"","keywords":"Microfabrication; Drag; Computer science; Degree (music); Materials science; Aerospace engineering; Mechanical engineering; Engineering; Physics; Acoustics; Fabrication","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":[0.0003371027,0.0004066211,0.0003555338,0.0004214246,0.0001406151,0.0005955339,0.0005072735,0.0004775367,0.00070665],"category_scores_gemma":[0.0005390086,0.0001985534,0.0004590972,0.0003526875,0.0002417905,0.0002701784,0.0002658883,0.0003232454,0.0003261894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298369,"about_ca_system_score_gemma":0.0002649015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006472517,"about_ca_topic_score_gemma":0.0008413674,"domain_scores_codex":[0.9996583,0.0000200924,0.00001130796,0.00003859145,0.0002113082,0.00006031698],"domain_scores_gemma":[0.9997614,0.00004411879,0.0000434316,0.00006066218,0.000063983,0.00002637978],"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":[0.0001282796,0.0001648458,0.001707717,0.0003438635,0.00001767741,0.0003971699,0.0001096641,0.0429387,0.9032902,0.001282053,0.0005160508,0.0491039],"study_design_scores_gemma":[0.00005399787,0.002025346,0.007773058,0.00003521108,0.00004954854,0.0006232482,0.0001134102,0.3285396,0.6482058,0.0004630509,0.01204264,0.00007518528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164339,0.001267512,0.07614887,0.00009645393,0.00008752748,0.0001069058,0.0001746458,0.0006564123,0.005027831],"genre_scores_gemma":[0.9293635,0.000562022,0.06803706,0.00002617937,0.00001297609,0.00004760387,0.0001812884,0.00008503872,0.001684366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00070665,"threshold_uncertainty_score":0.002393126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145483614165847,"score_gpt":0.2108104647789953,"score_spread":0.1893556286373368,"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."}}