{"id":"W2099534925","doi":"10.1109/ccece.2004.1345301","title":"A doubly-fed induction machine and energy storage system for wind power generation","year":2004,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wind power; Energy storage; AC power; Induction generator; Electricity generation; Distributed generation; Renewable energy; Electric power system; Stand-alone power system; Power optimizer; Computer science; Power control; Power (physics); Engineering; Control theory (sociology); Voltage; Electrical engineering; Maximum power point tracking; Control (management); Inverter","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":[0.00009814953,0.0001285763,0.0001553055,0.00008021742,0.00005477632,0.00005308921,0.00003953993,0.00009066144,0.000007163042],"category_scores_gemma":[0.000005598299,0.0001142547,0.00003316908,0.00006864556,0.000006237289,0.000163869,0.000007577922,0.00004606077,0.000004639604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621432,"about_ca_system_score_gemma":0.00001022391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001929243,"about_ca_topic_score_gemma":0.0001257274,"domain_scores_codex":[0.9994151,0.00001091711,0.0001876812,0.0001507662,0.00008695317,0.0001485767],"domain_scores_gemma":[0.9997399,0.0000090884,0.00002523395,0.0001331602,0.0000353012,0.00005733824],"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":[0.00007857425,0.00004801098,0.0001307615,0.0003285717,0.0002740562,0.00001333262,0.0007469321,0.4068034,0.499645,0.08616883,0.002335804,0.003426686],"study_design_scores_gemma":[0.01860997,0.000729206,0.002154542,0.0002232551,0.000171201,0.000459915,0.0005813293,0.8057079,0.09596977,0.000310381,0.07329585,0.001786649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7083275,0.001016628,0.2828257,0.0001594226,0.002025193,0.0003654141,0.00001666943,0.0006557794,0.004607613],"genre_scores_gemma":[0.9984465,0.000002570185,0.0005242305,0.00001984586,0.0004984855,0.00004504346,0.00002530838,0.00003378416,0.0004042821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036752,"threshold_uncertainty_score":0.465917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008877585253169238,"score_gpt":0.1864345137056543,"score_spread":0.177556928452485,"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."}}