{"id":"W4297094633","doi":"10.1109/access.2022.3210140","title":"Initial Propulsion System Study for the Futuristic Hyperloop Transportation System: Design, Modeling, and Hardware in the Loop Verification","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakeridge Health; Ontario Tech University","funders":"Transport Canada","keywords":"Propulsion; Computer science; Hardware-in-the-loop simulation; Controller (irrigation); Power inverter; Control engineering; DC motor; Synchronous motor; Inverter; Embedded system; Engineering; Electrical engineering; Voltage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006194637,0.0003225137,0.0003313548,0.0002705942,0.0003189843,0.0006786793,0.0006170609,0.0005567828,0.005743966],"category_scores_gemma":[0.0008239289,0.0001434998,0.0004412241,0.0001723647,0.0004221164,0.0009766156,0.0003402222,0.0006368449,0.0006987773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005940741,"about_ca_system_score_gemma":0.0008085411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278284,"about_ca_topic_score_gemma":0.0008470276,"domain_scores_codex":[0.9996979,0.00007434432,0.00001369997,0.00003723057,0.0001512192,0.0000256214],"domain_scores_gemma":[0.9996748,0.0001021854,0.00002272293,0.00006163681,0.0001233904,0.00001534964],"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":[0.0004355555,0.0002638522,0.00456682,0.001032068,0.0001105556,0.0006755987,0.0009610266,0.5466715,0.1730087,0.1033379,0.005574801,0.1633617],"study_design_scores_gemma":[0.00008691815,0.001497077,0.001895584,0.0001014497,0.0000418512,0.0002211031,0.0001558871,0.8382835,0.09074217,0.008236122,0.05868994,0.00004832826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1204942,0.0003912542,0.8534886,0.0003541888,0.0001145726,0.0004166945,0.0002709048,0.001495636,0.02297395],"genre_scores_gemma":[0.8786951,0.0004684789,0.1054734,0.00007448943,0.00002897706,0.0004454443,0.0003430283,0.0001282002,0.01434284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005743966,"threshold_uncertainty_score":0.01921552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995353378236594,"score_gpt":0.2869788062144276,"score_spread":0.2370252724320616,"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."}}