{"id":"W1577405668","doi":"","title":"Study of a novel buck-boost inverter for photovoltaic systems","year":2008,"lang":"en","type":"article","venue":"International Conference on Electrical Machines and Systems","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Photovoltaic system; Inverter; Computer science; Buck–boost converter; Maximum power point tracking; Flyback transformer; Buck converter; Grid-tie inverter; Voltage; Grid; Electronic engineering; Solar micro-inverter; Electrical engineering; Boost converter; Engineering; Transformer; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069194,0.0001974806,0.0003756914,0.0001330304,0.0003045387,0.0005736453,0.0004356443,0.0004281617,0.002853982],"category_scores_gemma":[0.0001989948,0.0001434549,0.00033522,0.0002110488,0.0001940281,0.0004062577,0.0001448694,0.0003360443,0.0004426288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715722,"about_ca_system_score_gemma":0.0002982833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446937,"about_ca_topic_score_gemma":0.0006687964,"domain_scores_codex":[0.9999279,0.000008080485,0.000001993418,0.00001407275,0.00004306751,0.000004948959],"domain_scores_gemma":[0.9999659,0.0000111349,0.000003571254,0.000002758259,0.00001361841,0.000003038947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002859963,0.0002656129,0.001492077,0.00173185,0.0001117067,0.00149221,0.0006396188,0.3360658,0.2860146,0.1837225,0.004347905,0.1838302],"study_design_scores_gemma":[0.0000292923,0.000274795,0.0007629538,0.00003855967,0.00002652997,0.0003438297,0.00004836407,0.9653955,0.008749056,0.009325513,0.01499176,0.00001379296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059138,0.003891856,0.7695441,0.0005767334,0.0003444378,0.0002767202,0.0001243057,0.0004039194,0.1189243],"genre_scores_gemma":[0.9130999,0.00207584,0.05877762,0.0001350504,0.0001469122,0.0001269625,0.00008261805,0.00004499476,0.0255101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002853982,"threshold_uncertainty_score":0.009547532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08094671989118321,"score_gpt":0.2826753474221905,"score_spread":0.2017286275310073,"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."}}