{"id":"W3164034707","doi":"10.1007/s00158-021-02935-x","title":"On determining the optimal shape, speed, and size of metal flywheel rotors with maximum kinetic energy","year":2021,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Energy; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flywheel; Rotor (electric); Energy storage; Optimal design; Flywheel energy storage; Rotational speed; Control theory (sociology); Automotive engineering; Engineering; Computer science; Mechanical engineering; Physics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003127589,0.0001522274,0.0001751913,0.000036351,0.0001308716,0.00002987272,0.00005013634,0.00004520673,0.00004658682],"category_scores_gemma":[0.00001664595,0.00009701118,0.00003343205,0.0002116618,0.00005920622,0.00009738994,0.00003626733,0.00007382208,1.156806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001116654,"about_ca_system_score_gemma":0.000009514943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006165799,"about_ca_topic_score_gemma":0.000005810074,"domain_scores_codex":[0.9993808,0.00002689289,0.0001564734,0.000179678,0.0001181495,0.000137998],"domain_scores_gemma":[0.999665,0.00008698673,0.00004154833,0.0001038989,0.00005474847,0.00004781791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006007962,0.00001066203,0.001342177,0.00005930349,0.0001138985,0.00001289724,0.0003678709,0.9699241,0.004954217,0.0002739889,0.000007699379,0.02287313],"study_design_scores_gemma":[0.0005128062,0.00013617,0.009934657,0.00002702164,0.0001198107,0.00002932368,0.00006948197,0.9864615,0.002433888,0.0001229088,0.000003651375,0.000148764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860551,0.0003369973,0.01320307,0.00003657485,0.00005038031,0.00008474271,0.000007125807,0.00003526572,0.0001907766],"genre_scores_gemma":[0.9787304,0.0001708738,0.02091411,0.0000104,0.00003439598,0.00000463267,0.00002563262,0.0000178705,0.00009172504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02272436,"threshold_uncertainty_score":0.3956001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911645913654079,"score_gpt":0.2010992315986859,"score_spread":0.1951875856850318,"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."}}