{"id":"W1597729540","doi":"10.4271/2009-01-2179","title":"Vehicle-to-Vehicle NVH Performance Variance","year":2009,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Noise, vibration, and harshness; Automotive engineering; Computer science; Variance (accounting); Engineering; Acoustics; Vibration; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004764733,0.0008308128,0.0008994927,0.0002468529,0.0004087382,0.0001839036,0.001141959,0.0007577311,0.0004727936],"category_scores_gemma":[0.0002633954,0.0007842318,0.0003553417,0.001114871,0.0002607495,0.0009025146,0.0001566075,0.001366011,0.0008097423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885761,"about_ca_system_score_gemma":0.00006870177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008779673,"about_ca_topic_score_gemma":0.004916314,"domain_scores_codex":[0.9957003,0.00008400848,0.001064009,0.001026421,0.0008787338,0.001246504],"domain_scores_gemma":[0.9974266,0.0002354651,0.0001063411,0.001479973,0.0001172091,0.0006344502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002272066,0.0002117751,0.00025884,0.00004167583,0.00003342149,0.00003067949,0.00002720124,0.001640622,0.9599472,0.004728868,0.005581229,0.02727131],"study_design_scores_gemma":[0.0009356454,0.001415117,0.9413397,0.0001881047,0.00004478472,0.00003805364,0.00001596158,0.00001712862,0.001240095,0.0006190171,0.05325776,0.0008885714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083927,0.0004409837,0.00001833544,0.008431347,0.0004261099,0.001290744,0.00005371127,0.007268113,0.07367793],"genre_scores_gemma":[0.9893794,0.0003547373,0.002120779,0.006846123,0.0003997687,0.000249188,0.000023822,0.0001413304,0.0004848357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9587071,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008319977364638452,"score_gpt":0.2203883138071571,"score_spread":0.2120683364425186,"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."}}