{"id":"W2803646284","doi":"10.1016/j.apcatb.2018.05.046","title":"An active and robust Si-Fe/N/C catalyst derived from waste reed for oxygen reduction","year":2018,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ballard Power Systems (Canada); Canadian Light Source (Canada); Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation; Institut national de la recherche scientifique; Ballard Power Systems","keywords":"Catalysis; Materials science; Carbon fibers; X-ray photoelectron spectroscopy; Carbonization; Chemical engineering; XANES; Electrolyte; Metal; BET theory; Electrochemistry; Inorganic chemistry; Chemistry; Metallurgy; Composite material; Electrode; Organic chemistry; Spectroscopy; Scanning electron microscope; Composite number","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":[0.00007566252,0.0002307592,0.0001632964,0.0001360519,0.0001358773,0.0002357471,0.0003034229,0.0002917651,0.0005794239],"category_scores_gemma":[0.0001082485,0.00009999924,0.0001402261,0.00008142563,0.0001482269,0.0002183182,0.0001667517,0.0002348224,0.0002903521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351293,"about_ca_system_score_gemma":0.0001987189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000619782,"about_ca_topic_score_gemma":0.002200282,"domain_scores_codex":[0.9999548,0.000002718275,0.000003466681,0.00001099987,0.00001786587,0.00001016748],"domain_scores_gemma":[0.9999796,0.000003585421,0.000003409315,0.000003602386,0.000004408528,0.000005354993],"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":[0.0000553941,0.00001486338,0.0001309288,0.00005733692,0.00000365818,0.00008093662,0.00001264036,0.0001604351,0.9957144,0.0002055859,0.0001093513,0.003454383],"study_design_scores_gemma":[0.000006002988,0.00007248839,0.0005452338,0.000002797104,0.000008426544,0.0001168724,0.00001242696,0.002093478,0.9951408,0.00005062764,0.001947266,0.000003566982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889178,0.0007323339,0.004796618,0.0001197716,0.00006736086,0.00002431522,0.0001260104,0.000140744,0.005075085],"genre_scores_gemma":[0.9927949,0.000180168,0.003255092,0.00002406092,0.00000774549,0.000005593107,0.0001354585,0.00001720647,0.003579888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000619782,"threshold_uncertainty_score":0.001938343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007025016604304701,"score_gpt":0.1916714929862209,"score_spread":0.1846464763819162,"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."}}