{"id":"W4319781062","doi":"10.1115/imece2022-94653","title":"Design Strategies for Flywheel Energy Storage Systems in EV Fast Charging","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Flywheel; Energy storage; Automotive engineering; Context (archaeology); Electric vehicle; Grid; Computer science; Flywheel energy storage; Electric power system; Electrical engineering; Reliability engineering; Power (physics); 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":[0.0001929931,0.0005349967,0.0002203243,0.0003768959,0.0003629335,0.0007266332,0.0005468511,0.0004775483,0.003863632],"category_scores_gemma":[0.0002070939,0.0001839467,0.0002389644,0.0001770288,0.000229547,0.0006510895,0.0003148874,0.0002157274,0.0005464392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909557,"about_ca_system_score_gemma":0.0004034291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007912981,"about_ca_topic_score_gemma":0.001882103,"domain_scores_codex":[0.9999108,0.00001578071,0.000007354013,0.00001638685,0.00003394635,0.00001557932],"domain_scores_gemma":[0.9999046,0.00001847148,0.00002140315,0.000007870672,0.000041264,0.000006301565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004372324,0.0001948234,0.001760082,0.001217772,0.00008735129,0.0007362507,0.0003670504,0.3283953,0.4036151,0.06052806,0.002853284,0.1998077],"study_design_scores_gemma":[0.00009031318,0.0009859138,0.001206493,0.0001640744,0.00006405189,0.0003922046,0.0003474988,0.8284697,0.1110925,0.01608855,0.04105856,0.0000401955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2239512,0.004290597,0.7137856,0.0009149612,0.0002885798,0.0005816483,0.0002250068,0.0005934623,0.05536908],"genre_scores_gemma":[0.9509452,0.0006754251,0.04050527,0.0000549053,0.00001819303,0.0001148648,0.00004093011,0.0000207312,0.007624432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003863632,"threshold_uncertainty_score":0.01292515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009097550762749,"score_gpt":0.1908005952657341,"score_spread":0.1807096197581066,"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."}}