{"id":"W4387231110","doi":"10.3390/app131910893","title":"Advances in Riblets Design","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Drag; Boundary layer; Turbulence; Marine engineering; Aerospace engineering; Wind tunnel; Mechanical engineering; Noise control; Aviation; Engineering; Noise (video); Computer science; Acoustics; Mechanics; Noise reduction; Physics","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":[0.000871408,0.0008815776,0.0008422129,0.001269825,0.0004615067,0.002178913,0.00167973,0.001602756,0.01021127],"category_scores_gemma":[0.001647854,0.0006480625,0.001227298,0.0009919438,0.0007388266,0.001814381,0.001100964,0.001834805,0.00739943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256662,"about_ca_system_score_gemma":0.0006700768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004743146,"about_ca_topic_score_gemma":0.000496593,"domain_scores_codex":[0.9991438,0.00009927912,0.00006116473,0.0001874922,0.0004382937,0.00006978846],"domain_scores_gemma":[0.9990354,0.0002546124,0.0001342015,0.0002067236,0.0002973854,0.00007177077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002211753,0.0002051451,0.001423531,0.003066941,0.00008475527,0.0006384947,0.0003502251,0.04774969,0.1316852,0.1504964,0.01150012,0.6525784],"study_design_scores_gemma":[0.00005676147,0.001258753,0.001612257,0.0006194047,0.0001426464,0.002329672,0.0001574454,0.1071687,0.08866939,0.03874825,0.7590414,0.0001953938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02420691,0.0544748,0.8064748,0.001321305,0.002114749,0.0002728296,0.0004690947,0.002049452,0.1086161],"genre_scores_gemma":[0.2736612,0.04974859,0.6262959,0.001026665,0.0009947715,0.0004599345,0.0009914584,0.001089665,0.04573188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01021127,"threshold_uncertainty_score":0.03416008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841349005328068,"score_gpt":0.2429877239132023,"score_spread":0.2245742338599216,"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."}}