{"id":"W2316128384","doi":"10.1149/1.3503352","title":"Effect of Different Surface Morphologies and Nitrogen Contents on the Electrochemical Activity of Nitrogen Doped Carbon Nanotubes towards Oxygen Reduction Reaction for Low Temperature Fuel Cells","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Catalysis; Nitrogen; Carbon nanotube; Carbon fibers; Materials science; Electrochemistry; Oxygen; Ferrocene; Oxygen reduction reaction; Inorganic chemistry; Chemical engineering; Doping; Chemistry; Nanotechnology; Organic 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":[0.0002815647,0.0003299878,0.0002536816,0.0002182699,0.0001435814,0.0003396146,0.0003075879,0.0004374635,0.0003999174],"category_scores_gemma":[0.0008061965,0.0002563562,0.0001966576,0.0001352893,0.0001697128,0.0003358057,0.0001260147,0.0002146823,0.0001262154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801335,"about_ca_system_score_gemma":0.0001017502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006367426,"about_ca_topic_score_gemma":0.002013341,"domain_scores_codex":[0.9997616,0.0000401594,0.00002636361,0.00006158194,0.00008542952,0.00002477615],"domain_scores_gemma":[0.9996031,0.0001703207,0.00007582447,0.00002951711,0.00008304958,0.000038231],"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":[0.00009377769,0.0000169931,0.0002043337,0.00001981431,0.000004819379,0.00003677321,0.00001142612,0.0001847486,0.9981528,0.00001989937,0.000008873296,0.001245668],"study_design_scores_gemma":[0.00000481022,0.00007329098,0.001207924,0.00000185196,0.0000103436,0.00003926022,0.000005926107,0.001084605,0.9973774,0.000008076247,0.000182825,0.000003735678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980502,0.0003717993,0.0009894316,0.00002326662,0.00001381912,0.000008865904,0.00005250048,0.00001758841,0.0004725843],"genre_scores_gemma":[0.9968876,0.0003603403,0.002015431,0.00001773894,0.000006527664,0.00001399599,0.00008651341,0.00001668513,0.0005951069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006367426,"threshold_uncertainty_score":0.002032459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005846392679832772,"score_gpt":0.2010520811511947,"score_spread":0.195205688471362,"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."}}