{"id":"W2136167738","doi":"10.1109/ccece.1995.526592","title":"DSP based space vector PWM pattern generators for current source rectifiers and inverters","year":2002,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Rectifier (neural networks); Computer science; Pulse-width modulation; Space vector modulation; Power factor; Electronic engineering; Harmonic; Minification; Control theory (sociology); Modulation (music); Digital signal processing; Current source; Current (fluid); Voltage; Engineering; Control (management); Electrical engineering; Physics; Artificial intelligence","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":[0.00005502862,0.0002231323,0.0001864943,0.00009318782,0.00007144632,0.00006114496,0.0001038502,0.00007252784,0.0003250705],"category_scores_gemma":[0.000009195907,0.0002108262,0.00008104947,0.00008431327,0.00003668427,0.00009677837,0.00001431275,0.0001123867,0.00003492152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006107989,"about_ca_system_score_gemma":0.000005276947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000388468,"about_ca_topic_score_gemma":0.00003128205,"domain_scores_codex":[0.9991148,0.00001527003,0.000172032,0.0002574141,0.0001110333,0.0003294154],"domain_scores_gemma":[0.9995252,0.00005154749,0.00002166811,0.0002005622,0.00002284428,0.0001781542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004806653,0.00002142716,0.001761719,0.0001539006,0.00004513976,0.000001261792,0.0005380143,0.0009326389,0.001062326,0.00001700635,0.07223046,0.9232313],"study_design_scores_gemma":[0.0006412257,0.00002711355,0.0002531068,0.00002525464,0.00001986669,0.000001382576,0.00008872386,0.9622388,0.005768097,0.000006041425,0.03063488,0.0002955055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04715722,0.0006524322,0.9489307,0.0004305169,0.001468276,0.0003945219,0.00002140805,0.0004217336,0.0005231976],"genre_scores_gemma":[0.9978895,0.0000753192,0.0008685947,0.0006770669,0.0001122569,0.00006746295,0.000007355893,0.00005614867,0.0002463342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9613062,"threshold_uncertainty_score":0.8597242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419836960027571,"score_gpt":0.198765626703359,"score_spread":0.1745672571030832,"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."}}