{"id":"W4250608929","doi":"10.1002/ange.202017102","title":"Single Atom Ruthenium‐Doped CoP/CDs Nanosheets via Splicing of Carbon‐Dots for Robust Hydrogen Production","year":2021,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Henan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Overpotential; Catalysis; Electrocatalyst; Ruthenium; Nanoparticle; Chemical engineering; Carbon fibers; Materials science; Water splitting; Density functional theory; Hydrogen; Chemistry; Nanotechnology; Composite number; Physical chemistry; Computational chemistry; Electrochemistry; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009188579,0.000271287,0.0001904084,0.0001665459,0.00009119983,0.0002295728,0.0003129301,0.0003019506,0.0008738617],"category_scores_gemma":[0.000126109,0.0001984612,0.0001782222,0.0001346697,0.0001728657,0.000236232,0.0001655754,0.0002886593,0.0002687164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915573,"about_ca_system_score_gemma":0.0001260925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003923936,"about_ca_topic_score_gemma":0.001018183,"domain_scores_codex":[0.999921,0.000007510141,0.000006851227,0.0000266709,0.00002615855,0.00001197195],"domain_scores_gemma":[0.9999304,0.00001686755,0.00001803024,0.00001253946,0.00001245766,0.000009742545],"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":[0.00002214821,0.00001445124,0.00006218399,0.00002239899,0.000005452404,0.00004394263,0.00000848378,0.0003728196,0.9979151,0.0002134286,0.00006306328,0.001256544],"study_design_scores_gemma":[0.000008225944,0.00003718795,0.0002433185,0.000001485538,0.000004150248,0.00002629226,0.000004320237,0.00243669,0.9966138,0.00002374185,0.0005976301,0.000003200213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902833,0.0004267381,0.007101377,0.00006779581,0.00004386792,0.00003151896,0.0001916595,0.0001972467,0.001656472],"genre_scores_gemma":[0.9934744,0.0001797992,0.005064668,0.00001919571,0.000006204466,0.00001866092,0.0001143495,0.00002653926,0.001096208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008738617,"threshold_uncertainty_score":0.002923369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810110393156409,"score_gpt":0.2197035754151987,"score_spread":0.2016024714836347,"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."}}