{"id":"W4320496312","doi":"10.3390/aerospace10020168","title":"Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Cleansky","keywords":"Voltage; Generator (circuit theory); Control theory (sociology); MATLAB; Power (physics); Range (aeronautics); Voltage regulator; Engineering; Control system; Automotive engineering; Computer science; Control (management); Electrical engineering; 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":[0.000204223,0.0002085293,0.0002843889,0.00006238683,0.0001214397,0.00006035412,0.0001421056,0.00009000542,0.00001021583],"category_scores_gemma":[0.0000328674,0.0002122752,0.0001422148,0.0001464651,0.00001664434,0.00008955797,0.000008774772,0.00006378198,0.00005735646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211864,"about_ca_system_score_gemma":0.0000304821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001138209,"about_ca_topic_score_gemma":0.00002669453,"domain_scores_codex":[0.9988436,0.00001247908,0.0002467631,0.0002536634,0.0001315579,0.0005119432],"domain_scores_gemma":[0.999329,0.0001690655,0.00004918932,0.0002501386,0.00009074932,0.0001118228],"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":[0.0001588544,0.00001994305,0.0001729761,0.001490511,0.0002331837,0.000003898783,0.0006050236,0.02844563,0.9027582,0.0005710523,0.05665447,0.00888628],"study_design_scores_gemma":[0.002164878,0.00005117539,0.0000271193,0.00006457978,0.00002283085,1.270077e-7,0.0003194792,0.8242117,0.1706436,0.00000880975,0.002262451,0.0002232494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1290036,0.00006206497,0.8669884,0.0002897649,0.001049171,0.001078062,0.0002026108,0.001245244,0.0000811041],"genre_scores_gemma":[0.9938885,0.000001820896,0.004341014,0.0002851961,0.0001731931,0.0008767144,0.00004639025,0.00008308436,0.000304092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8648849,"threshold_uncertainty_score":0.8656331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675125775322936,"score_gpt":0.2243447621436168,"score_spread":0.2075935043903875,"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."}}