{"id":"W4319791618","doi":"10.1002/adfm.202212301","title":"Stable, Cost‐Effective TiN‐Based Plasmonic Nanocomposites with over 99% Solar Steam Generation Efficiency","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Tin; Plasmon; Energy conversion efficiency; Graphene; Photothermal therapy; Absorption (acoustics); Plasmonic nanoparticles; Chemical engineering; Tin oxide; Nanotechnology; Nanoparticle; Nanocomposite; Optoelectronics; Composite material; Metallurgy; Doping","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":[0.000118205,0.0003415895,0.0001319381,0.000265862,0.0001018737,0.0002367363,0.0001955995,0.000246154,0.0006999276],"category_scores_gemma":[0.0001550696,0.0001876515,0.000185438,0.0001566786,0.000107539,0.000256591,0.0002028301,0.0002374233,0.00025704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284633,"about_ca_system_score_gemma":0.0001042924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000263745,"about_ca_topic_score_gemma":0.0008110181,"domain_scores_codex":[0.9999248,0.000006173057,0.000005892529,0.00001994151,0.00003170644,0.00001149918],"domain_scores_gemma":[0.9999497,0.000007584826,0.00001484904,0.000004198065,0.00001443302,0.000009199837],"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":[0.00002960895,0.00001734693,0.00007846688,0.00004477026,0.000004495061,0.00002065143,0.000007623261,0.0002015543,0.9970644,0.00009374128,0.0001115955,0.002325694],"study_design_scores_gemma":[0.000007111155,0.00008268653,0.0005874043,0.000002872846,0.00001118475,0.00004865784,0.000007521443,0.002854183,0.9944364,0.0000253725,0.001931921,0.000004715083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775637,0.001287631,0.0143083,0.00009959016,0.00005851299,0.00003487445,0.0002341584,0.0004096161,0.00600359],"genre_scores_gemma":[0.9905252,0.0003024281,0.006414606,0.00002283643,0.000007448339,0.00002036472,0.0001582376,0.00003658793,0.002512398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006999276,"threshold_uncertainty_score":0.002341509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231972770404672,"score_gpt":0.2742773201550775,"score_spread":0.2510800431146103,"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."}}