{"id":"W4380741092","doi":"10.1117/12.2664057","title":"Sliding innovation filter to estimate power converters of electric vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Control theory (sociology); Voltage; Filter (signal processing); Observer (physics); Inductor; Computer science; Power (physics); Engineering; Electronic engineering; Electrical engineering; Control (management); 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":[],"consensus_categories":[],"category_scores_codex":[0.0000837589,0.00006734949,0.00008814475,0.0006191062,0.00001610662,0.000009352589,0.0001418301,0.00004270969,0.00006342931],"category_scores_gemma":[0.0001117972,0.00006443138,0.00001165175,0.002412906,0.000008290633,0.00009279746,0.00006626372,0.00009169868,0.000204158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004558325,"about_ca_system_score_gemma":0.000004623793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001509238,"about_ca_topic_score_gemma":4.924058e-7,"domain_scores_codex":[0.9993895,0.00000350429,0.0001491604,0.00009524695,0.0001236716,0.0002389631],"domain_scores_gemma":[0.9997107,0.00005225726,0.00001020338,0.0001596496,0.00005152645,0.00001570282],"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":[0.000004136652,0.000003224267,0.0009766767,0.00003442536,0.00001409892,0.000004499548,0.00004472827,0.01771128,0.9421473,0.002146053,0.007763393,0.02915017],"study_design_scores_gemma":[0.0001045918,0.00004765302,0.005796053,0.00001568569,0.000001020533,0.000001167925,0.00006366118,0.1010925,0.8910831,0.0007514163,0.0009288583,0.0001143682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469695,0.000006507463,0.04909955,0.0003164154,0.00006024335,0.0001202811,0.000001805365,0.001348798,0.002076868],"genre_scores_gemma":[0.9969485,0.000006250961,0.002692391,0.00004120667,0.000003779903,0.00001870312,0.000003877095,0.00001992371,0.0002653358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08338119,"threshold_uncertainty_score":0.2627436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360819102718432,"score_gpt":0.3060881854979035,"score_spread":0.2824799944707191,"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."}}