{"id":"W3023806259","doi":"10.1109/tpel.2020.2992779","title":"An Adaptive Sensorless Control Technique for a Flyback-Type Solar Tile Microinverter","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Solar micro-inverter; Flyback transformer; Photovoltaic system; Inductor; Electronic engineering; Engineering; Inductance; Control system; Control theory (sociology); Computer science; Maximum power point tracking; Electrical engineering; Voltage; Control (management); Transformer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001484698,0.0002864302,0.0002582963,0.0001797412,0.0002416796,0.0003284487,0.0007037384,0.000271667,0.001304036],"category_scores_gemma":[0.0002645918,0.0001176061,0.0002063412,0.0001252615,0.0002116544,0.0002928637,0.0002312514,0.0003096664,0.0002872153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321133,"about_ca_system_score_gemma":0.0001325375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004035741,"about_ca_topic_score_gemma":0.0007021356,"domain_scores_codex":[0.9998125,0.00001775793,0.00001182781,0.0000588153,0.00008798793,0.00001109198],"domain_scores_gemma":[0.9998716,0.00002533144,0.00003245145,0.0000213492,0.00004119013,0.000008027571],"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":[0.000343075,0.0001093007,0.001179872,0.0003146208,0.00004602431,0.0003640067,0.0003044437,0.01646386,0.6204694,0.003779244,0.001218157,0.355408],"study_design_scores_gemma":[0.0001259671,0.002205019,0.00449509,0.00006080882,0.00009449582,0.001729366,0.00007922651,0.5766865,0.3843682,0.001527435,0.02855299,0.00007481989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0655231,0.0004563924,0.9282051,0.0001315088,0.0001701187,0.0001072245,0.00004641421,0.001475444,0.003884814],"genre_scores_gemma":[0.9236902,0.0001732122,0.07217222,0.00009194976,0.0000683035,0.00007324641,0.00003607782,0.00002786353,0.003666978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001304036,"threshold_uncertainty_score":0.004362404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406374530548396,"score_gpt":0.2441765717221322,"score_spread":0.2301128264166482,"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."}}