{"id":"W3125412854","doi":"10.4271/2021-01-0943","title":"New Results from the Evaluation of Drag Reduction Technologies for Light-Duty Vehicles","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; National Research Council Canada","funders":"","keywords":"Drag; Aerodynamics; Aerodynamic drag; Wind tunnel; Reduction (mathematics); Fuel efficiency; Marine engineering; Engineering; Automotive engineering; Computer science; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001735705,0.000666232,0.0003758529,0.001095148,0.0004657879,0.0008991324,0.0006526775,0.0005202678,0.001426458],"category_scores_gemma":[0.00158255,0.000176471,0.0006862597,0.0004679697,0.0003447602,0.0009020203,0.0005303372,0.0005174125,0.0003979588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008158886,"about_ca_system_score_gemma":0.0004509326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724448,"about_ca_topic_score_gemma":0.007378356,"domain_scores_codex":[0.9987516,0.0001599206,0.00005649526,0.0001317784,0.0007916651,0.0001084421],"domain_scores_gemma":[0.9986271,0.000308603,0.0001049523,0.0002034085,0.0006404345,0.0001154798],"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":[0.002528292,0.006425128,0.06533753,0.001284679,0.0002343301,0.0004138435,0.001013944,0.1068614,0.3319799,0.002812881,0.004800941,0.4763072],"study_design_scores_gemma":[0.0002719711,0.03436008,0.1553417,0.0003029757,0.0003392471,0.0004644083,0.00147868,0.1771635,0.5745367,0.001194921,0.05427889,0.0002670082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775547,0.0007565624,0.009583636,0.0001083863,0.00007003971,0.0002432141,0.0007079626,0.0002575405,0.01071807],"genre_scores_gemma":[0.9811549,0.0008313605,0.01160739,0.00004719764,0.00001855416,0.00006702926,0.001451676,0.00006458355,0.004757354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004724448,"threshold_uncertainty_score":0.009393871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0502850338933286,"score_gpt":0.3984069957182098,"score_spread":0.3481219618248811,"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."}}