{"id":"W3187776656","doi":"10.1016/j.fuel.2021.121351","title":"Construction of transition metal-decorated boron doped twin-graphene for hydrogen storage: A theoretical prediction","year":2021,"lang":"en","type":"article","venue":"Fuel","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Hydrogen storage; Graphene; Materials science; Hydrogen; Boron; Gravimetric analysis; Carbon fibers; Doping; Adsorption; Chemical engineering; Metal; Inorganic chemistry; Nanotechnology; Physical chemistry; Chemistry; Metallurgy; Composite material; Organic chemistry; Composite number","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006331548,0.0002426013,0.0001700619,0.0001892237,0.0003356684,0.0003563564,0.0003917149,0.0004613098,0.001084106],"category_scores_gemma":[0.0001380866,0.0001245422,0.0002199687,0.0002073547,0.0002016853,0.0003423915,0.0002392834,0.0002407294,0.0001824704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277036,"about_ca_system_score_gemma":0.0001273261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005681097,"about_ca_topic_score_gemma":0.001339216,"domain_scores_codex":[0.9999657,0.000003572895,0.000001227961,0.000006477153,0.00001139045,0.00001158809],"domain_scores_gemma":[0.9999787,0.000004575273,0.00000327097,0.000005653875,0.000003227136,0.000004625357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002244292,0.0001205893,0.0009814525,0.0005355534,0.00005554064,0.0007540445,0.0001275447,0.03121638,0.8698311,0.07844012,0.001575396,0.0161378],"study_design_scores_gemma":[0.00004530498,0.0004982681,0.002094888,0.00004503428,0.00006292199,0.00045249,0.0002134562,0.315133,0.6495683,0.02040491,0.01138597,0.00009538523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672277,0.0008632734,0.01682214,0.0003595571,0.0001701476,0.00002999962,0.0003141241,0.000132037,0.01408102],"genre_scores_gemma":[0.9907821,0.0002738735,0.00780026,0.0000190803,0.000003695626,0.00001204312,0.0001077295,0.000009901494,0.0009913787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001084106,"threshold_uncertainty_score":0.003626764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119381661141441,"score_gpt":0.2383559481974891,"score_spread":0.2271621315860747,"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."}}