{"id":"W4361205409","doi":"10.1038/s41467-023-37401-3","title":"Epitaxially grown silicon-based single-atom catalyst for visible-light-driven syngas production","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Toronto","funders":"Science and Technology Planning Project of Guangdong Province; Canadian Institutes of Health Research; Sun Yat-sen University; European Soft Matter Infrastructure; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; European Commission; Natural Science Foundation of Guangdong Province; University of Saskatchewan; Canadian Light Source","keywords":"Silicon; Materials science; Epitaxy; Syngas; Photocatalysis; Catalysis; Crystalline silicon; Dispersion (optics); Atom (system on chip); Nanotechnology; Chemical engineering; Optoelectronics; Photochemistry; Chemistry; Optics; Organic chemistry; Physics","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":[0.00008396665,0.0003543992,0.0002665833,0.000288431,0.0001268201,0.0002971817,0.0003138052,0.0003249757,0.0009268134],"category_scores_gemma":[0.0001198911,0.0002141173,0.0001840227,0.000258704,0.0001311558,0.0001821522,0.0001863222,0.0003545944,0.0004131304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390742,"about_ca_system_score_gemma":0.000316965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065787,"about_ca_topic_score_gemma":0.004070275,"domain_scores_codex":[0.999886,0.000004836679,0.000008965649,0.00002705381,0.00005079188,0.00002238054],"domain_scores_gemma":[0.9999372,0.00001007331,0.00001759001,0.000007212397,0.00001503874,0.00001292369],"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":[0.00002709216,0.00001731971,0.0001436373,0.0000519386,0.000007515175,0.00004320302,0.000006002962,0.0002262997,0.9978201,0.0001305992,0.0001182145,0.001407988],"study_design_scores_gemma":[0.000008876435,0.00004140556,0.0006920752,0.000003086447,0.000007587937,0.00003530447,0.000008209696,0.003395606,0.9949451,0.00001778051,0.0008415076,0.000003419541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899281,0.001112931,0.00397534,0.000131722,0.00007863003,0.00003551807,0.0004641825,0.000194645,0.004078973],"genre_scores_gemma":[0.9963007,0.0004111392,0.002301985,0.00001070927,0.000007461842,0.00001130422,0.0001879584,0.00002018274,0.0007484599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065787,"threshold_uncertainty_score":0.003100514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971330638621085,"score_gpt":0.3154163430308503,"score_spread":0.2857030366446394,"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."}}