{"id":"W2594847077","doi":"10.1039/c6nr09545c","title":"Enhanced hydrogen adsorption on graphene by manganese and manganese vanadium alloy decoration","year":2017,"lang":"en","type":"article","venue":"Nanoscale","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Graphene; Materials science; Manganese; Vanadium; Hydrogen; Adsorption; Hydrogen storage; Chemical engineering; Nanoparticle; Microstructure; Inorganic chemistry; Catalysis; Alloy; Nanotechnology; Metallurgy; Chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003879972,0.0002891052,0.0001070045,0.000202445,0.0001023729,0.0001628491,0.0002670629,0.0001949807,0.0005286476],"category_scores_gemma":[0.00007240339,0.0001162199,0.0002004692,0.0001206246,0.000123566,0.000159996,0.0002096113,0.0001380209,0.0001291381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202194,"about_ca_system_score_gemma":0.00007191312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007434401,"about_ca_topic_score_gemma":0.002451035,"domain_scores_codex":[0.9999489,0.000004854132,0.000002171378,0.00001085159,0.00001793373,0.00001537935],"domain_scores_gemma":[0.9999763,0.00000387396,0.000006608741,0.000003932862,0.000005106148,0.000004208133],"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":[0.0000185163,0.000005446359,0.0001038347,0.00003953284,0.000005185372,0.00004100299,0.000008187438,0.0001698091,0.997971,0.0001137439,0.00002991081,0.001493753],"study_design_scores_gemma":[0.000002319777,0.00004418982,0.0009283791,0.000002150937,0.000009666889,0.00006284876,0.00001061568,0.001487459,0.9960744,0.00003131179,0.001341747,0.000004849293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937727,0.0006445713,0.003216821,0.00004664092,0.00003254506,0.000009656222,0.0001064646,0.00006643681,0.002104162],"genre_scores_gemma":[0.9953814,0.000245438,0.002922625,0.00001653111,0.000003538382,0.000005654043,0.00009172496,0.00001271956,0.001320299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007434401,"threshold_uncertainty_score":0.00176847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152166277710506,"score_gpt":0.2510845071777861,"score_spread":0.2395628444006811,"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."}}