{"id":"W2335716688","doi":"10.1021/cm403740r","title":"Bimodal Mesoporous Carbon Nanofibers with High Porosity: Freestanding and Embedded in Membranes for Lithium–Sulfur Batteries","year":2014,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute for Materials Science; Canada Research Chairs","keywords":"Materials science; Porosity; Mesoporous material; Nanofiber; Electrochemistry; Membrane; Chemical engineering; Sulfur; Cathode; Carbon nanofiber; Anode; Carbon fibers; Lithium (medication); Specific surface area; Electrode; Nanotechnology; Composite material; Chemistry; Catalysis; Organic chemistry; Carbon nanotube; Composite number; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001509036,0.0002069354,0.0004499534,0.00003542012,0.00002707763,0.00004088478,0.0001172167,0.0001346236,0.00002417672],"category_scores_gemma":[0.00003068233,0.0001814693,0.00001449468,0.0000474942,0.0001289841,0.00008336312,0.00004305311,0.00003571652,1.724607e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002558089,"about_ca_system_score_gemma":0.000006643809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002419853,"about_ca_topic_score_gemma":0.000003906774,"domain_scores_codex":[0.9991787,0.000009246722,0.0002956305,0.0002050898,0.00007863166,0.000232684],"domain_scores_gemma":[0.9996012,0.00005346576,0.00008640983,0.0002077574,0.00002276631,0.00002834817],"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":[0.00007774262,0.000007321032,0.0001279965,0.002133891,0.00001731697,0.000002824647,0.00008788714,0.000201259,0.9971675,0.00003412558,0.0000137516,0.0001283454],"study_design_scores_gemma":[0.0006315667,0.00004198452,0.0002389828,0.0001645205,0.00001559407,0.00001411054,0.0001447364,0.00002716331,0.9974698,0.0008889887,0.0001437929,0.0002187419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988673,0.0001050837,0.0001978069,0.0000483145,0.0001638399,0.000152965,0.0000812314,0.0002109678,0.000172502],"genre_scores_gemma":[0.9969613,0.00005788505,0.002754275,0.000006857836,0.00006804329,0.00005387219,0.00002749398,0.00003828801,0.0000320131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002556469,"threshold_uncertainty_score":0.7400102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005080740104143985,"score_gpt":0.1842037389565673,"score_spread":0.1791229988524233,"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."}}