{"id":"W2897074242","doi":"10.1002/adma.201803263","title":"Construction of Hierarchically Porous Nanoparticles@Metal–Organic Frameworks Composites by Inherent Defects for the Enhancement of Catalytic Efficiency","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; Office of Energy Efficiency; Office of Science; National Natural Science Foundation of China; University of Chicago; Postdoctoral Science Foundation of Jiangsu Province; Organization Department of the Central Committee of the Communist Party of China; National Key Research and Development Program of China; China Scholarship Council; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Materials science; Selectivity; Catalysis; Metal-organic framework; Nanoparticle; Mesoporous material; Olefin fiber; Annealing (glass); Porosity; Chemical engineering; Nanotechnology; Composite material; Organic chemistry; Adsorption; Polymer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009062083,0.0002895855,0.0001507662,0.0002232369,0.0001138733,0.0002103443,0.0002485517,0.00030522,0.0004245986],"category_scores_gemma":[0.0001409348,0.0001635698,0.0002452252,0.0001307492,0.0001803782,0.0002178961,0.0002079523,0.0002929064,0.0001457184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081559,"about_ca_system_score_gemma":0.0001587835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007233236,"about_ca_topic_score_gemma":0.001708437,"domain_scores_codex":[0.9999189,0.000005349579,0.000005439697,0.00001947715,0.00002490597,0.00002578308],"domain_scores_gemma":[0.9999356,0.000007813523,0.00002161906,0.000007873709,0.000009493214,0.00001761791],"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":[0.00002678704,0.00001377811,0.0000753124,0.00002507734,0.000004574801,0.0000369282,0.00000812838,0.0003568885,0.997972,0.0001630238,0.00002862251,0.001289014],"study_design_scores_gemma":[0.000007067464,0.00005024823,0.0006434104,0.000001606355,0.000007073749,0.00004362699,0.000005566208,0.002799932,0.9958178,0.00002340462,0.000595476,0.00000467364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878199,0.0004888591,0.009749268,0.00004418363,0.00003017108,0.00002910073,0.0001148387,0.0003217987,0.001401985],"genre_scores_gemma":[0.9961301,0.0001168388,0.003255344,0.000007652747,0.000003291534,0.00001025363,0.00004531127,0.0000125439,0.0004186966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007233236,"threshold_uncertainty_score":0.00223583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008400520426513975,"score_gpt":0.246334623953579,"score_spread":0.237934103527065,"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."}}