{"id":"W4318821817","doi":"10.1038/s41467-023-35981-8","title":"Silver nanoparticle enhanced metal-organic matrix with interface-engineering for efficient photocatalytic hydrogen evolution","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); McGill University; Institut National de la Recherche Scientifique","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Science; Technische Universität Dresden; Canada Research Chairs; Fonds de recherche du Québec – Nature et technologies; Canadian Light Source; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung; U.S. Department of Energy","keywords":"Photocatalysis; Nanoparticle; Materials science; Metal; Interface (matter); Nanotechnology; Matrix (chemical analysis); Hydrogen; Chemical engineering; Chemistry; Catalysis; Organic chemistry; Composite material; Metallurgy; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499153,0.0002165804,0.0002425981,0.0002318448,0.0002527109,0.0000293806,0.0009867761,0.0001942564,0.00002584334],"category_scores_gemma":[0.0002255143,0.0002013797,0.0001101527,0.001445196,0.00008711036,0.0001428962,0.0003343559,0.0004781625,0.0001888625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659171,"about_ca_system_score_gemma":0.00004804506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003259798,"about_ca_topic_score_gemma":0.0003963356,"domain_scores_codex":[0.9987749,0.00004398622,0.0003031436,0.000317962,0.0002047887,0.0003552266],"domain_scores_gemma":[0.9971975,0.0003285261,0.000123756,0.002090711,0.0001814136,0.00007806637],"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":[0.0000322731,0.00008445951,0.00001409029,0.00002014066,0.00009677239,4.041362e-7,0.0001853068,0.04019885,0.953092,0.005967229,0.0002056877,0.0001028092],"study_design_scores_gemma":[0.0003545663,0.00005882065,0.00007730319,0.00004299018,0.0001035322,0.00000424123,0.00009925552,0.1097009,0.8795547,0.0004249495,0.009334785,0.000243932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248163,0.003248701,0.06328472,0.0007979984,0.0001538298,0.002846841,0.00006609847,0.003335373,0.001450151],"genre_scores_gemma":[0.9874906,0.00004130773,0.01059929,0.00002967899,0.00002133613,0.001097727,0.0002070875,0.0000804442,0.0004325315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07353727,"threshold_uncertainty_score":0.8212026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146524684979131,"score_gpt":0.2922297496278153,"score_spread":0.280764502778024,"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."}}