{"id":"W2913289578","doi":"10.1039/9781788016193-00001","title":"MOF-derived Materials for Extremely Efficient Electrocatalysis","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electrocatalyst; Nanotechnology; Porosity; Materials science; Metal-organic framework; Oxygen reduction; Oxygen reduction reaction; Chemistry; Electrochemistry; Physical chemistry; Electrode; Composite material","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":[0.00008755366,0.0006054683,0.0002940754,0.0006667693,0.0002060685,0.0006840094,0.0005595917,0.0005722975,0.006012874],"category_scores_gemma":[0.00006938553,0.0002671579,0.0002449553,0.0005329659,0.000173613,0.0008932652,0.0003748469,0.001027749,0.003408574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062611,"about_ca_system_score_gemma":0.0002068851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440452,"about_ca_topic_score_gemma":0.0009776982,"domain_scores_codex":[0.9999439,0.000003066072,0.000002225267,0.00001333886,0.00002930493,0.000008136049],"domain_scores_gemma":[0.9999899,0.000003008577,0.000001053984,9.991775e-7,0.000003683346,0.000001318729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004455857,0.0001526449,0.00007466791,0.002607793,0.00004209883,0.0004346017,0.0001846468,0.001969754,0.2737409,0.1326941,0.05984486,0.5282094],"study_design_scores_gemma":[0.000008212583,0.00003172295,0.0002177271,0.0002311635,0.000008846634,0.0007203466,0.00002447129,0.001239918,0.05898571,0.006963004,0.9315514,0.00001748091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02052324,0.6457186,0.05393651,0.002106371,0.002792013,0.0001641004,0.0007611721,0.0008697129,0.2731283],"genre_scores_gemma":[0.1104088,0.4409671,0.06101852,0.001236209,0.0008909769,0.000200849,0.001173909,0.0002791673,0.3838245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006012874,"threshold_uncertainty_score":0.02011514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034449986809295,"score_gpt":0.2322385635621023,"score_spread":0.2118940636940093,"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."}}