{"id":"W2268282076","doi":"10.4271/2007-01-0512","title":"The Challenges of Next Generation Automotive Benchmarks","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Automotive industry; Computer science; Engineering; Aerospace 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":[0.02795813,0.001681648,0.001356817,0.003039219,0.001449847,0.01037963,0.007206154,0.001868648,0.01008848],"category_scores_gemma":[0.06281643,0.0009006989,0.0009389669,0.002434713,0.001480882,0.01131175,0.003852132,0.004813278,0.005339337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004950576,"about_ca_system_score_gemma":0.005423596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006974761,"about_ca_topic_score_gemma":0.006930639,"domain_scores_codex":[0.9747931,0.007720411,0.001636782,0.001180257,0.013234,0.001435505],"domain_scores_gemma":[0.9374567,0.01540758,0.001794569,0.006014181,0.03764101,0.00168597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004272113,0.0004731546,0.004544188,0.001176446,0.00009000556,0.0003511815,0.0006924973,0.04844936,0.007401227,0.2125704,0.1525576,0.5712668],"study_design_scores_gemma":[0.0001223362,0.0006356758,0.002216919,0.001267886,0.00008636446,0.0004408548,0.001016181,0.1803872,0.01991242,0.1022805,0.6914478,0.0001858602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04797481,0.02549792,0.6438053,0.03806556,0.007272353,0.001216636,0.00264271,0.02653531,0.2069893],"genre_scores_gemma":[0.2411365,0.01220375,0.6612561,0.008360247,0.001680886,0.002079996,0.01139086,0.01082882,0.05106283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02795813,"threshold_uncertainty_score":0.1478586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918723823111959,"score_gpt":0.2426574172131863,"score_spread":0.2234701789820668,"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."}}