{"id":"W2904790531","doi":"10.1021/acs.jpcc.8b09498","title":"An Efficient Way To Suppress the Competition between Adsorption of H<sub>2</sub> and Desorption of <i>n</i>H<sub>2</sub>–Nb Complex from Graphene Sheet: A Promising Approach to H<sub>2</sub> Storage","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Graphene; Materials science; Binding energy; Niobium; Desorption; Hydrogen; Adsorption; Hydrogen storage; Chemical physics; Atom (system on chip); Molecule; Nanotechnology; Physical chemistry; Atomic physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001540278,0.0003807542,0.0008278853,0.0000810364,0.0002448338,0.0001198434,0.0007484806,0.000140542,0.00001655585],"category_scores_gemma":[0.00008582263,0.0002613046,0.0001980163,0.0003284868,0.0004943279,0.000261989,0.0002288638,0.0002687257,0.00001797694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009956765,"about_ca_system_score_gemma":0.00006487106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003276411,"about_ca_topic_score_gemma":0.000004047354,"domain_scores_codex":[0.9968442,0.0004671039,0.0009283043,0.0004219078,0.0008900986,0.0004483874],"domain_scores_gemma":[0.9973635,0.0002489333,0.0009388207,0.0006382629,0.0004702774,0.0003402128],"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":[0.0005639714,0.0004809276,0.0000176909,0.0001502921,0.00005883004,0.00000185234,0.002766573,0.003262304,0.992044,0.00002497659,0.00007356695,0.0005549992],"study_design_scores_gemma":[0.0006958763,0.0004801406,0.0012486,0.0002340117,0.000266901,0.00002966695,0.0003146926,0.001374971,0.9946589,0.000398641,0.00001157171,0.0002859674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944752,0.00003768394,0.004426002,0.00008989841,0.0001250951,0.0004991629,0.0002791725,0.00003128971,0.00003645206],"genre_scores_gemma":[0.9982632,0.00001224039,0.0003597843,0.00006162768,0.001192751,0.00001523458,0.00004948451,0.00004513817,5.475046e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004066217,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726555628785568,"score_gpt":0.245144208119923,"score_spread":0.2278786518320673,"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."}}