{"id":"W2409075368","doi":"10.1021/acs.chemmater.5b03216","title":"New Insights into the Structure of Nanoporous Carbons from NMR, Raman, and Pair Distribution Function Analysis","year":2015,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Argonne National Laboratory; Basic Energy Sciences; Gonville and Caius College, University of Cambridge; Engineering and Physical Sciences Research Council; Office of Science; Drexel University; Centers for Disease Control and Prevention; Bundesministerium für Bildung und Forschung; European Research Council; University of Cambridge; U.S. Department of Energy","keywords":"Nanoporous; Raman spectroscopy; Characterization (materials science); Materials science; Carbon fibers; Nuclear magnetic resonance spectroscopy; Pair distribution function; Spectroscopy; Chemical shift; Carbon-13 NMR; Chemical physics; Porosity; Nanotechnology; Chemical engineering; Analytical Chemistry (journal); Chemistry; Organic chemistry; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004400059,0.000127597,0.0002799811,0.000009320151,0.00004426727,0.00001624981,0.0001520538,0.0001496321,0.0003267126],"category_scores_gemma":[0.0000447267,0.00009651607,0.00004982906,0.0001404943,0.00009498779,0.00004207484,0.00006920606,0.00005738223,3.524345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003680292,"about_ca_system_score_gemma":0.00003948925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651688,"about_ca_topic_score_gemma":0.00001423695,"domain_scores_codex":[0.9992488,0.000009628128,0.0003109008,0.0002056933,0.0001389435,0.00008602241],"domain_scores_gemma":[0.9990924,0.00003353472,0.0002963583,0.0004150259,0.00009071642,0.00007198224],"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":[0.00004086483,0.00001398105,0.0002325822,0.00005948207,0.0001089587,2.928728e-7,0.0001963815,0.00004649737,0.9983196,0.00004307494,0.0004010159,0.0005372494],"study_design_scores_gemma":[0.000199583,0.00000665682,0.0001952969,0.00001911756,0.0003056758,0.000001047538,0.0002250874,0.0000284763,0.9865379,0.008466702,0.003920523,0.00009392516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962615,0.0003755316,0.002660686,0.00007238796,0.00001357567,0.00005094259,0.0003621967,0.00004667184,0.000156525],"genre_scores_gemma":[0.9973273,0.00003351717,0.001126914,0.000005951463,0.0001226458,0.000006736123,0.001178523,0.000009267236,0.0001891431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178171,"threshold_uncertainty_score":0.3935811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009089157567731177,"score_gpt":0.2369664057566467,"score_spread":0.2278772481889155,"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."}}