{"id":"W2111530232","doi":"10.1109/apec.2011.5744573","title":"Multi-input single-inductor dc-dc converter for MPPT in parallel-connected photovoltaic applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Maximum power point tracking; Inductor; Maximum power principle; Computer science; Buck converter; Power (physics); Controller (irrigation); Boost converter; Control theory (sociology); Electronic engineering; Buck–boost converter; Engineering; Electrical engineering; Voltage; Control (management); 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002300189,0.0003230837,0.0004286143,0.0003272605,0.00009426489,0.00003935065,0.0004238626,0.0002935448,0.001169223],"category_scores_gemma":[0.0001103742,0.0003082978,0.0001361934,0.000469035,0.00007699445,0.0002610297,0.00006826512,0.00013074,0.0001729644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942411,"about_ca_system_score_gemma":0.00007005844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724463,"about_ca_topic_score_gemma":0.002738869,"domain_scores_codex":[0.9979177,0.00008954392,0.0007285848,0.0006046888,0.0001759023,0.0004835513],"domain_scores_gemma":[0.9984964,0.0001442648,0.0002093618,0.0007209632,0.0002842974,0.000144706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002261504,0.001850789,0.005780366,0.0001697521,0.000177043,0.000009843667,0.002276778,0.0001222652,0.9623255,0.01644868,0.005422262,0.005190644],"study_design_scores_gemma":[0.003529044,0.0002055062,0.001533505,0.00006875901,0.00004485621,0.00001885282,0.0004773054,0.0397074,0.9084738,0.002128581,0.04289058,0.0009217508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01998199,0.00006870361,0.9534228,0.00004737314,0.0001875069,0.004050271,0.00004204001,0.001700595,0.02049871],"genre_scores_gemma":[0.7716261,0.00001197304,0.2204648,0.0004733639,0.000063422,0.004384416,0.0001063631,0.00008774647,0.002781784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7516441,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06204419013895655,"score_gpt":0.2677730369598048,"score_spread":0.2057288468208482,"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."}}