{"id":"W2982040875","doi":"10.1002/anie.201913022","title":"Hybrid Plasmonic–Aerogel Materials as Optical Superheaters with Engineered Resonances","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Key Research and Development Program of China; H2020 European Research Council; Technische Universität Dresden; China Postdoctoral Science Foundation; Postdoctoral Research Foundation of China; National Science and Technology Program during the Twelfth Five-year Plan Period; National Natural Science Foundation of China; Volkswagen Foundation","keywords":"Aerogel; Plasmon; Materials science; Thermal insulation; Optoelectronics; Nanotechnology; Layer (electronics)","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":["insufficient_payload"],"category_scores_codex":[0.0002808417,0.0002408635,0.0002393988,0.0001344125,0.00004896657,0.0001382593,0.0003450357,0.0001169299,0.003646211],"category_scores_gemma":[0.0001232788,0.0002116643,0.00006766363,0.00009772558,0.00007292385,0.0005234575,0.00004882011,0.0001595718,0.0008477591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801563,"about_ca_system_score_gemma":0.00005434218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001429094,"about_ca_topic_score_gemma":0.000005716582,"domain_scores_codex":[0.9982779,0.00004455045,0.0003587885,0.0004576286,0.000572512,0.0002886091],"domain_scores_gemma":[0.9990911,0.0001449148,0.0001145485,0.0003202547,0.0002247145,0.0001043896],"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":[0.0005499432,0.0001128311,0.0005296399,0.00003531231,0.0002038,0.00003578471,0.0002929278,0.0003706553,0.978726,0.01392132,0.004216211,0.001005623],"study_design_scores_gemma":[0.0009812446,0.00008725252,0.001267352,0.00007784135,0.00002089425,0.00009988822,0.00008704633,0.00005612886,0.9603983,0.001394387,0.03526328,0.0002664236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688728,0.00004236848,0.001937125,0.00129256,0.002575299,0.0002187804,0.0001247368,0.0002018695,0.02473448],"genre_scores_gemma":[0.989374,0.00004274648,0.005631026,0.0003269467,0.0008974275,0.0001081672,0.00129681,0.00005225005,0.002270666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03104707,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155497351066674,"score_gpt":0.2523545467999134,"score_spread":0.2407995732892467,"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."}}