{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000540522,0.0007987404,0.001012359,0.0002967605,0.0002405314,0.0000513557,0.0007329207,0.0007436685,0.0007008649],"category_scores_gemma":[0.0003956621,0.000714713,0.0002999259,0.0009650528,0.0005397908,0.0004321853,0.0002452955,0.001144212,0.00006158071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009762,"about_ca_system_score_gemma":0.00006259596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002200928,"about_ca_topic_score_gemma":0.005277729,"domain_scores_codex":[0.9958799,0.00016365,0.001221349,0.001021474,0.0007820533,0.0009315506],"domain_scores_gemma":[0.9974971,0.0004747191,0.0001726115,0.00135006,0.0001106208,0.0003948657],"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":[0.0006257004,0.0005396311,0.00009676175,0.0001524788,0.00005213781,0.00001442056,0.0001204054,0.0002892613,0.9806025,0.005615185,0.0009153353,0.01097618],"study_design_scores_gemma":[0.001446666,0.006770903,0.964191,0.0003705608,0.0001502251,0.00004687455,0.00003646654,0.00008391927,0.0160361,0.0044492,0.005319316,0.001098756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582986,0.001085608,0.000004329016,0.0004692778,0.0001087346,0.0009297492,0.0000383184,0.001915511,0.03714987],"genre_scores_gemma":[0.9962199,0.0008927996,0.001861613,0.0003723772,0.0001418014,0.0001800199,0.00004095494,0.0001384066,0.0001520652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9645664,"threshold_uncertainty_score":0.9995304,"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."}}