{"id":"W2038281809","doi":"10.4271/2011-01-1726","title":"Noise and Vibration Phenomena of On-Line Electric Vehicle<sup>®</sup>","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Vibration; Noise (video); Acoustics; Line (geometry); Physics; Electric vehicle; Electrical engineering; Computer science; Engineering; Mathematics; Power (physics); Artificial intelligence","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":[0.000137955,0.0002274635,0.0001366479,0.0003724871,0.0002202037,0.0001530274,0.0003236065,0.0004025414,0.002477232],"category_scores_gemma":[0.0003515043,0.00008104226,0.0001348225,0.0001920333,0.0002948357,0.0002534858,0.0001877888,0.0002523311,0.0005209069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190454,"about_ca_system_score_gemma":0.00008176628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621257,"about_ca_topic_score_gemma":0.001660714,"domain_scores_codex":[0.9997951,0.00002324891,0.000006388404,0.00003350676,0.0001134934,0.00002827117],"domain_scores_gemma":[0.9997147,0.00009536213,0.00003848549,0.00002139935,0.0001093991,0.00002067581],"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":[0.001295096,0.0003040494,0.03175819,0.0005232263,0.00005595696,0.006336578,0.003029695,0.006041266,0.8107027,0.001992121,0.00988791,0.1280732],"study_design_scores_gemma":[0.00008853394,0.002160213,0.3042359,0.0002150186,0.0001139677,0.008201572,0.004856931,0.06706609,0.572762,0.001855746,0.03828495,0.0001591439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974584,0.0005763273,0.009036898,0.0001982174,0.0001190811,0.00003188704,0.0001960526,0.0002310139,0.01502655],"genre_scores_gemma":[0.9930784,0.0002075039,0.0007878265,0.00009102635,0.00001954355,0.00001233649,0.0002089905,0.00003240446,0.005561966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002477232,"threshold_uncertainty_score":0.008287132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259121642678657,"score_gpt":0.214330979145758,"score_spread":0.2017397627189714,"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."}}