{"id":"W2108304989","doi":"10.1109/pes.2008.4596060","title":"A mechanical speed-sensorless maximum power tracking control for a wind turbine system including a matrix converter","year":2008,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Power optimizer; Wind power; Controller (irrigation); Turbine; Maximum power point tracking; Power (physics); Induction generator; Maximum power principle; Power factor; AC power; Maximum power transfer theorem; Computer science; Wind speed; Voltage; Engineering; Electrical engineering; Physics; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002342636,0.0003759466,0.0006437682,0.0001401741,0.0001598777,0.00006509895,0.0002652722,0.0002026334,0.0002672814],"category_scores_gemma":[0.00002020311,0.0003284013,0.0002960995,0.0001215153,0.00004303959,0.0002156781,0.00003398796,0.0002046435,0.0001320408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185269,"about_ca_system_score_gemma":0.0000246958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000309421,"about_ca_topic_score_gemma":0.000005883144,"domain_scores_codex":[0.9980519,0.00003562592,0.0006217654,0.0003874071,0.0002914022,0.0006119207],"domain_scores_gemma":[0.9991113,0.000150237,0.00006826406,0.0003583022,0.0001083734,0.0002035356],"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":[0.003634164,0.001027621,0.009663521,0.007420346,0.007379416,0.00328868,0.01774,0.02365344,0.6133335,0.05998589,0.1514024,0.101471],"study_design_scores_gemma":[0.003747472,0.00006418666,0.0003372118,0.00009277504,0.00005617771,0.00028237,0.0005599335,0.9882857,0.004479251,0.00004848972,0.001554635,0.0004918191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2446997,0.0001369064,0.7481046,0.0002222064,0.001621662,0.001280768,0.00008051149,0.001013944,0.002839747],"genre_scores_gemma":[0.9977328,0.000005553331,0.001140556,0.0003739742,0.0001607831,0.00002954973,0.000007990847,0.00009772537,0.0004511304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9646322,"threshold_uncertainty_score":0.9999168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907026535855036,"score_gpt":0.2418413825766935,"score_spread":0.2127711172181432,"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."}}