{"id":"W2058653106","doi":"10.1109/ispsd.2014.6856063","title":"A cell-level power management IC in BCD-SOI for partial power processing in Concentrating-PV systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boost converter; Switched-mode power supply; Electronic engineering; Converters; Buck converter; Electrical engineering; Power factor; Power (physics); Computer science; Voltage; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000709703,0.0002274902,0.0003528638,0.0002157715,0.00004945142,0.0001068813,0.0002365618,0.0001460166,0.0001118574],"category_scores_gemma":[0.00005649309,0.0002130713,0.00005334496,0.0003277541,0.00002865143,0.0002023133,0.0000585104,0.00009142704,0.00002149528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957144,"about_ca_system_score_gemma":0.00004050044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008657309,"about_ca_topic_score_gemma":0.0002351756,"domain_scores_codex":[0.9979672,0.0001357978,0.0007351657,0.0004297807,0.0002626083,0.0004694242],"domain_scores_gemma":[0.9992708,0.00006264313,0.0001954052,0.0003086199,0.00009035027,0.00007221031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114525,0.003641578,0.03856434,0.007518954,0.0002207351,0.000172808,0.0166119,0.2267234,0.04793191,0.5717321,0.05583288,0.02990417],"study_design_scores_gemma":[0.01054968,0.0005775918,0.004431495,0.002144261,0.00005217378,0.00001919984,0.005938197,0.7660733,0.1081988,0.001747498,0.09806068,0.002207147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04412907,0.0003845356,0.6462813,0.0001288734,0.0006532183,0.003749759,0.00001191246,0.0008220784,0.3038392],"genre_scores_gemma":[0.9871119,0.000006839851,0.009281834,0.0002260848,0.00003574531,0.0007950369,0.00001421505,0.00004966733,0.002478653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9429829,"threshold_uncertainty_score":0.8688793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678625199474576,"score_gpt":0.250640821981046,"score_spread":0.2338545699863002,"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."}}