{"id":"W2074122670","doi":"10.1021/am5073996","title":"Probing the Interfacial Interaction in Layered-Carbon-Stabilized Iron Oxide Nanostructures: A Soft X-ray Spectroscopic Study","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; U.S. Department of Energy","keywords":"Materials science; X-ray absorption spectroscopy; Oxide; Iron oxide; Magnetic circular dichroism; Catalysis; Absorption spectroscopy; Spectroscopy; Amorphous solid; Iron oxide nanoparticles; Carbon fibers; Nanoparticle; XANES; Chemical engineering; Nanotechnology; Inorganic chemistry; Crystallography; Spectral line; Composite number; Composite material; Metallurgy; Chemistry; Optics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398542,0.0002706381,0.0001809713,0.0001287548,0.0001688848,0.0001877831,0.0002584646,0.0002874391,0.000719533],"category_scores_gemma":[0.0001788962,0.0001171535,0.0001252053,0.00009862569,0.0001843817,0.000174146,0.0001476676,0.0003716865,0.0001274053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802535,"about_ca_system_score_gemma":0.00006879567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007051008,"about_ca_topic_score_gemma":0.0006917643,"domain_scores_codex":[0.9999311,0.000007403421,0.000004346199,0.00001693745,0.00002317059,0.00001713735],"domain_scores_gemma":[0.9998844,0.00003835052,0.00002543622,0.000007935722,0.00003014844,0.00001375518],"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":[0.00002202248,0.000009943858,0.0001365656,0.0000152551,0.000003485546,0.00001998404,0.00001633344,0.00006744756,0.9993473,0.00002986373,0.000008867028,0.0003229632],"study_design_scores_gemma":[0.000004516667,0.00004440296,0.001344101,0.000001875118,0.000007198983,0.0000306092,0.00002178435,0.001491731,0.9968476,0.00001858957,0.0001848127,0.000002746353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971945,0.0002826382,0.00193992,0.00002970242,0.000005832633,0.000007047808,0.00003665424,0.00002714656,0.0004765701],"genre_scores_gemma":[0.9980578,0.0001064325,0.001396012,0.00001905408,0.00000227773,0.000005832418,0.00004841273,0.000007218014,0.0003570247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000719533,"threshold_uncertainty_score":0.002407134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860178899596688,"score_gpt":0.2624927333615809,"score_spread":0.243890944365614,"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."}}