{"id":"W3108257971","doi":"10.1002/adfm.202008452","title":"Sec‐Eliminating the SARS‐CoV‐2 by AlGaN Based High Power Deep Ultraviolet Light Source","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Materials science; Ultraviolet; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Optoelectronics; Power (physics); Ultraviolet a; Light source; Ultraviolet light; 2019-20 coronavirus outbreak; Virology; Optics; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001817359,0.0003199945,0.0003616846,0.0000248117,0.0002677377,0.0001792803,0.0002496684,0.00006486614,0.004234559],"category_scores_gemma":[0.0000285318,0.000240297,0.0001014467,0.0001235959,0.00005097016,0.0002187963,0.00005573162,0.0001172719,0.0002402805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002202464,"about_ca_system_score_gemma":0.00004152837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009779242,"about_ca_topic_score_gemma":9.931478e-7,"domain_scores_codex":[0.998311,0.0001302339,0.0004635559,0.0004506885,0.000265535,0.0003789347],"domain_scores_gemma":[0.9990873,0.0001464617,0.0002921327,0.0002662142,0.0001064174,0.0001014913],"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":[0.0001232393,0.00004630833,0.0001079666,0.00002409838,0.00004122944,0.000001024849,0.0001193858,0.0003653768,0.9932341,0.001586998,0.003675892,0.0006743855],"study_design_scores_gemma":[0.0008187853,0.0000959868,0.0003571241,0.00002654314,0.00004279172,0.00000106863,0.0003187665,0.00003399635,0.9594883,0.0006109654,0.0379038,0.0003018716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856526,0.00005218663,0.00860883,0.00275877,0.001346564,0.0003712458,0.0005574952,0.0001098023,0.0005424895],"genre_scores_gemma":[0.9939161,0.000001269466,0.0004488126,0.003891217,0.00076126,0.0001008193,0.0006952934,0.00005904025,0.0001261735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03422791,"threshold_uncertainty_score":0.9966757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989299715267852,"score_gpt":0.2169437300788586,"score_spread":0.2070507329261801,"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."}}