{"id":"W4403221386","doi":"10.1039/d4ee03704a","title":"Microenvironment engineering of covalent organic framework based single/dual-atom catalysts toward sustainable energy conversion and storage","year":2024,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Beijing Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Dual (grammatical number); Catalysis; Covalent bond; Sustainable energy; Dual role; Atom (system on chip); Energy storage; Chemistry; Combinatorial chemistry; Materials science; Nanotechnology; Chemical engineering; Computer science; Engineering; Organic chemistry; Physics; Embedded system; Electrical engineering; Renewable energy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004419502,0.0002811864,0.0002398363,0.0002207706,0.0002404951,0.0001542315,0.0004823508,0.0001196637,0.001083163],"category_scores_gemma":[0.00003463701,0.0002827916,0.00006548013,0.0006175601,0.0008981132,0.0004248825,0.0006380631,0.0001475026,0.00005968339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009691739,"about_ca_system_score_gemma":0.0001175496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001171106,"about_ca_topic_score_gemma":0.000002222249,"domain_scores_codex":[0.9973445,0.00003375148,0.0003579224,0.0008837574,0.0007674376,0.000612642],"domain_scores_gemma":[0.9988915,0.0001646264,0.0001047108,0.0005780651,0.000009863573,0.0002512058],"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":[0.000007562749,0.0001381366,0.00009744662,0.00006579015,0.000006896889,0.00003133711,0.0002780037,0.0009796842,0.991017,0.006804554,0.00008141375,0.0004921331],"study_design_scores_gemma":[0.000136617,0.0001043991,0.001042737,0.0001058449,0.00003657401,0.00002602435,0.0003614265,0.003215003,0.9693555,0.0001936038,0.02511518,0.0003071523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167331,0.002376375,0.07978077,0.0003933886,0.0003470978,0.0001391717,0.00003591516,0.0001216002,0.00007251197],"genre_scores_gemma":[0.9952812,0.0002390847,0.003835134,0.0001435941,0.0000553931,0.00003318856,0.00001739728,0.00004221332,0.0003528503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07854798,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004791732774945012,"score_gpt":0.186909635413469,"score_spread":0.182117902638524,"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."}}