{"id":"W3200602662","doi":"10.1002/pip.3468","title":"Microstructured antireflective encapsulant on concentrator solar cells","year":2021,"lang":"en","type":"article","venue":"Progress in Photovoltaics Research and Applications","topic":"solar cell performance optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Institut interdisciplinaire d'innovation technologique; University of Ottawa","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Thomas and Stacey Siebel Foundation","keywords":"Anti-reflective coating; Materials science; Polydimethylsiloxane; Coating; Optoelectronics; Photovoltaic system; Monolayer; Optics; Solar cell; Energy conversion efficiency; Reflection (computer programming); Composite material; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007732103,0.0002128445,0.0001740177,0.0001135562,0.00008361644,0.0001861837,0.0002214662,0.0001809147,0.0003568131],"category_scores_gemma":[0.0001475018,0.0001252293,0.0001455487,0.00009323488,0.000126161,0.0001281321,0.0001348152,0.0001271315,0.0001626255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422034,"about_ca_system_score_gemma":0.0001291706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370765,"about_ca_topic_score_gemma":0.003332915,"domain_scores_codex":[0.9999336,0.000004548313,0.00000296232,0.00001379061,0.00003045152,0.00001462368],"domain_scores_gemma":[0.9999008,0.00002069402,0.00003732246,0.00001210481,0.00002208092,0.000007064611],"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":[0.00001198191,0.000007782764,0.0001691044,0.00001641492,0.000003411614,0.0000149167,0.000003911256,0.001583548,0.9970619,0.00004264443,0.0000209722,0.001063287],"study_design_scores_gemma":[0.00000401604,0.00008657841,0.001679389,0.000001874538,0.000006837133,0.00002202671,0.000004254744,0.007289702,0.9904299,0.000009241646,0.0004627844,0.000003274934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954953,0.0002682434,0.003237817,0.00001528436,0.000009424506,0.000007258267,0.0000524126,0.00006826562,0.0008459619],"genre_scores_gemma":[0.9953719,0.0001744554,0.003769173,0.00001195368,0.000005017097,0.000004604904,0.00003735421,0.00001104903,0.0006144815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370765,"threshold_uncertainty_score":0.002725601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023977660020753,"score_gpt":0.3142176641244661,"score_spread":0.2902400041037131,"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."}}