{"id":"W2806047449","doi":"10.1039/c7ra12512g","title":"Hydrogen storage in Li, Na and Ca decorated and defective borophene: a first principles study","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Compute Canada","keywords":"Borophene; Hydrogen storage; Hydrogen; Chemistry; Materials science; Chemical engineering; Nanotechnology; Inorganic chemistry; Organic chemistry; Engineering; Graphene","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":[0.0002872936,0.0005754717,0.0009778277,0.0002008599,0.0007318715,0.0006331411,0.0009278136,0.0007109782,0.003347802],"category_scores_gemma":[0.0003123102,0.0003402731,0.0005428412,0.0004488608,0.000679931,0.0007353436,0.0005969825,0.0008832781,0.0003402668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702766,"about_ca_system_score_gemma":0.000481546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310808,"about_ca_topic_score_gemma":0.003705174,"domain_scores_codex":[0.9998921,0.00001708051,0.000002899257,0.00001072756,0.0000451671,0.00003202116],"domain_scores_gemma":[0.9998906,0.00004750083,0.000007752886,0.00002308286,0.00002167719,0.000009340053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009714036,0.0006838926,0.004562866,0.005530546,0.0004702026,0.003138865,0.001227736,0.467152,0.3335409,0.1323915,0.008094682,0.04223542],"study_design_scores_gemma":[0.00016925,0.000596907,0.003413911,0.0001438038,0.0001053617,0.0004653718,0.0005966054,0.8993534,0.07093201,0.01552951,0.008603654,0.00009028025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687632,0.002772249,0.01436641,0.0004587198,0.00008659787,0.00007318593,0.0004986586,0.0001835611,0.01279739],"genre_scores_gemma":[0.9848512,0.002040758,0.009000576,0.000114072,0.0000161235,0.00008735212,0.0003207447,0.00006331434,0.003505884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003347802,"threshold_uncertainty_score":0.01119953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581508512259241,"score_gpt":0.2726597030670531,"score_spread":0.2568446179444607,"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."}}