{"id":"W2801825030","doi":"10.1016/b978-0-12-813731-4.00011-4","title":"Graphene-Based Materials for Clean Energy Applications","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Graphene research and applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Clean energy; Graphene; Materials science; Computer science; Environmental science; Nanotechnology; Environmental protection","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":[0.0001346941,0.001043622,0.0004033204,0.001455167,0.0005176769,0.001584728,0.0007237704,0.001129548,0.02911512],"category_scores_gemma":[0.0001762112,0.0002928402,0.0003211431,0.001612369,0.0004794837,0.002181458,0.001054803,0.001538682,0.01154449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676221,"about_ca_system_score_gemma":0.0004166345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005498629,"about_ca_topic_score_gemma":0.001927228,"domain_scores_codex":[0.9998744,0.00000727715,0.000004025333,0.00001806379,0.00008168755,0.00001456053],"domain_scores_gemma":[0.9999652,0.00001192149,0.000002376579,0.000005911195,0.000009569568,0.000005033626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004257908,0.00009921465,0.00006393158,0.002268545,0.00002703555,0.0002184692,0.000128381,0.001439687,0.0514683,0.1843529,0.174486,0.5854051],"study_design_scores_gemma":[0.000003957423,0.00001301391,0.0001142552,0.0002632534,0.00000704633,0.0001733848,0.0000380555,0.0004991653,0.009400318,0.04081096,0.9486638,0.00001278515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004755616,0.2607248,0.01606077,0.003430196,0.00651246,0.00005889182,0.000625011,0.0005862925,0.707246],"genre_scores_gemma":[0.03089796,0.1942757,0.0160556,0.001220637,0.0016606,0.00008178165,0.0007555777,0.0002704958,0.7547817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02911512,"threshold_uncertainty_score":0.09739977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254733202605291,"score_gpt":0.2731897935467357,"score_spread":0.2506424615206828,"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."}}