{"id":"W4390519805","doi":"10.1039/d3ey00265a","title":"Nanostructured single-atom catalysts derived from natural building blocks","year":2024,"lang":"en","type":"article","venue":"EES Catalysis","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Young Scientists Fund; State Key Laboratory of Polymer Materials Engineering; Sichuan University; National Natural Science Foundation of China","keywords":"Atom (system on chip); Catalysis; Carbon fibers; Nanotechnology; Materials science; Carbon atom; Metal; Chemistry; Computer science; Metallurgy; Organic chemistry; Composite material; Embedded system; Ring (chemistry)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001650535,0.000533925,0.0005782397,0.0005659426,0.0002543685,0.0003055808,0.0007100131,0.0002811413,0.000407957],"category_scores_gemma":[0.0001276255,0.0004921086,0.0005410631,0.001454657,0.0001259706,0.0005764787,0.0002755151,0.0004694849,0.0003823897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890053,"about_ca_system_score_gemma":0.0001164397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007777716,"about_ca_topic_score_gemma":0.003693157,"domain_scores_codex":[0.9968095,0.00008201464,0.000521336,0.001104647,0.0007658181,0.0007166635],"domain_scores_gemma":[0.9983463,0.000217557,0.0001239743,0.0009700899,0.0001347903,0.0002073088],"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":[0.00004299821,0.00003422757,0.0001109198,0.00002928415,0.001099282,0.0002077013,0.0007234941,0.0002514035,0.9606515,0.001677444,0.001809694,0.03336209],"study_design_scores_gemma":[0.0003427239,0.00003486303,0.0002713771,0.0001011896,0.0006407314,0.00004681898,0.0001148572,0.002530824,0.9389225,0.001318019,0.05503852,0.0006375738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853005,0.008250184,0.0004826563,0.0003922805,0.002193971,0.0001101709,0.00002117977,0.001057649,0.002191425],"genre_scores_gemma":[0.9926556,0.00003637562,0.00192528,0.0001564566,0.0005896218,0.00002360325,0.002141934,0.0001278554,0.002343233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05322883,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006273570058810901,"score_gpt":0.2131388394573142,"score_spread":0.2068652693985033,"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."}}