{"id":"W2626481481","doi":"10.1021/acsnano.7b01231","title":"Molecular Sieving Across Centimeter-Scale Single-Layer Nanoporous Graphene Membranes","year":2017,"lang":"en","type":"article","venue":"ACS Nano","topic":"Graphene research and applications","field":"Materials Science","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Massachusetts Institute of Technology; U.S. Department of Energy","keywords":"Nanoporous; Graphene; Membrane; Materials science; Nanotechnology; Gas separation; Microscale chemistry; Nanopore; Knudsen number; Chemical engineering; Graphene nanoribbons; 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":[0.0001794316,0.0003422975,0.0002194833,0.0004188522,0.0002215163,0.0002411059,0.0003647342,0.0004299048,0.0004437807],"category_scores_gemma":[0.0002857238,0.0002005925,0.0003107971,0.0001635074,0.0002554946,0.0005023592,0.0003032043,0.0003993482,0.000193429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349355,"about_ca_system_score_gemma":0.0001420371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972728,"about_ca_topic_score_gemma":0.0008992768,"domain_scores_codex":[0.9998628,0.00000971688,0.000008704857,0.00003099309,0.000055371,0.00003238753],"domain_scores_gemma":[0.9998354,0.00003990626,0.00004925895,0.00003170818,0.00002331174,0.00002036044],"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":[0.00001638012,0.00001006088,0.0002037289,0.0000530553,0.00001059393,0.00005619973,0.00002489806,0.000778936,0.9963158,0.0002803351,0.00004821199,0.002201899],"study_design_scores_gemma":[0.000003704518,0.00005338183,0.0009716416,0.000004839055,0.00000562561,0.00008006794,0.00001789326,0.003426817,0.9943639,0.00011757,0.0009493458,0.000005283139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861079,0.0006919464,0.0113584,0.0001007451,0.00001712347,0.00002992844,0.0001744318,0.0002886746,0.00123081],"genre_scores_gemma":[0.9874029,0.0005097806,0.01134753,0.00003658871,0.000005335492,0.00002147371,0.0001313932,0.00001822396,0.000526778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004972728,"threshold_uncertainty_score":0.002534807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142983701663637,"score_gpt":0.3097683920452299,"score_spread":0.2783385550285935,"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."}}