{"id":"W2086010810","doi":"10.1016/j.electacta.2012.08.005","title":"Nanopillar niobium oxides as support structures for oxygen reduction electrocatalysts","year":2012,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ballard Power Systems","keywords":"Niobium; Niobium oxide; Materials science; Annealing (glass); Catalysis; Oxide; Chemical engineering; Electrolyte; Nanopillar; Electrocatalyst; Metal; Sputter deposition; Inorganic chemistry; Sputtering; Electrode; Thin film; Nanotechnology; Chemistry; Electrochemistry; Metallurgy; Nanostructure; Physical chemistry","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":[0.00008862356,0.0001874895,0.0002263785,0.0001642392,0.0002188232,0.0003565098,0.000577342,0.0003605347,0.0008503072],"category_scores_gemma":[0.0002005612,0.0002468442,0.000108558,0.0001316211,0.0001439407,0.0003160652,0.0002349057,0.0003418716,0.00031499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293084,"about_ca_system_score_gemma":0.0001151767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007156296,"about_ca_topic_score_gemma":0.00235284,"domain_scores_codex":[0.9998943,0.00000642548,0.00000741272,0.00002305107,0.00004709438,0.00002180187],"domain_scores_gemma":[0.999926,0.00001886964,0.00001604701,0.00001163342,0.00001774885,0.000009715854],"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":[0.00004799467,0.00000778519,0.00005086109,0.00005462336,0.000003547412,0.00003233899,0.000015005,0.0001388768,0.9982633,0.0003377538,0.0001053505,0.0009425833],"study_design_scores_gemma":[0.00001261754,0.00005976432,0.0007832804,0.000004821961,0.00001033249,0.00005018717,0.00002644474,0.003469932,0.993839,0.00009740065,0.001637691,0.000008585644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989767,0.001325018,0.005265739,0.0001530118,0.0001266583,0.00001443129,0.0003011466,0.0001774355,0.002869611],"genre_scores_gemma":[0.9944934,0.0003717743,0.003429878,0.0000217502,0.00001665471,0.00001771475,0.0001634351,0.00001811317,0.001467362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008503072,"threshold_uncertainty_score":0.002844632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009032393974446246,"score_gpt":0.2404689950875088,"score_spread":0.2314366011130626,"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."}}