{"id":"W2805188082","doi":"10.1109/tpel.2018.2843158","title":"Ripple-Free Boost-Mode Power Supply Using Photonic Power Conversion","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"solar cell performance optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Broadcom (Canada); University of Ottawa","funders":"","keywords":"Photonics; Converters; Ripple; Energy conversion efficiency; Diode; Electrical engineering; Physics; Voltage; Laser; Power (physics); Optoelectronics; Materials science; Topology (electrical circuits); Optics; Engineering","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":[0.0001380431,0.0002519611,0.0002733967,0.0002955009,0.0002780005,0.0006044987,0.0009851744,0.0002732286,0.002950881],"category_scores_gemma":[0.000275496,0.0002093822,0.000181942,0.0005946352,0.0002669643,0.0004297282,0.0003109251,0.0004175671,0.0009461755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003137169,"about_ca_system_score_gemma":0.0002341423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004294933,"about_ca_topic_score_gemma":0.0008058575,"domain_scores_codex":[0.9998091,0.00001475951,0.000008931661,0.00003206926,0.0001138856,0.0000212454],"domain_scores_gemma":[0.999817,0.00004811849,0.00003267216,0.00003121777,0.0000604397,0.00001060404],"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":[0.0004030066,0.0001728628,0.001154423,0.000357227,0.00004763326,0.0003187434,0.0001961507,0.00511788,0.8272391,0.004124236,0.00469783,0.1561709],"study_design_scores_gemma":[0.00009705106,0.0003667754,0.002492076,0.00005043449,0.00005914241,0.0005189403,0.00005988301,0.1080756,0.8655263,0.003132197,0.01958267,0.00003898375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4604079,0.001549706,0.4604987,0.0006743132,0.0003182146,0.0002191137,0.0004520107,0.009667081,0.06621303],"genre_scores_gemma":[0.9480021,0.0003362757,0.04285179,0.0001593973,0.0000726606,0.00008020812,0.0001731962,0.0001471089,0.008177245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002950881,"threshold_uncertainty_score":0.009871662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006290058796268337,"score_gpt":0.2181749261246667,"score_spread":0.2118848673283983,"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."}}