{"id":"W2333779117","doi":"10.1149/1.3502342","title":"Nanoporous Carbon-Supported Fe/Co-N Electrocatalyst for Oxygen Reduction Reaction in PEM Fuel Cells","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrocatalyst; Proton exchange membrane fuel cell; Nanoporous; Catalysis; Carbon black; Carbon fibers; Oxygen; Chemical engineering; Selectivity; Inorganic chemistry; Materials science; Chemistry; Electrode; Composite number; Electrochemistry; Nanotechnology; Organic chemistry; Composite material; 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":[0.000151834,0.0001824332,0.0002382001,0.0002935538,0.0001365825,0.0001509324,0.0003533852,0.0003391347,0.0004795251],"category_scores_gemma":[0.0001819224,0.0001645798,0.0001656438,0.0001483651,0.0001206888,0.000274816,0.0001179524,0.0002179343,0.0002184944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285534,"about_ca_system_score_gemma":0.0001295364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037914,"about_ca_topic_score_gemma":0.005072523,"domain_scores_codex":[0.9998893,0.000009332794,0.000008531255,0.00002178806,0.00005923361,0.00001180711],"domain_scores_gemma":[0.999961,0.00001062764,0.000005304402,0.000005215252,0.000009786555,0.000008156745],"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":[0.00003575148,0.00001379734,0.00008179795,0.00003696731,0.000003282898,0.0000376601,0.000003888231,0.000210385,0.9967451,0.00004727339,0.00003668268,0.002747269],"study_design_scores_gemma":[0.000007627526,0.000059495,0.00100846,0.00000279091,0.0000062727,0.00008754186,0.000004995741,0.002686653,0.9951897,0.00002982415,0.0009128755,0.000003865516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774048,0.004794013,0.01397349,0.0001554894,0.00007980662,0.00004838241,0.0002578317,0.0001917001,0.003094422],"genre_scores_gemma":[0.9835743,0.001174074,0.01296854,0.0000302843,0.00001123165,0.00001743019,0.0001794844,0.00001623746,0.002028292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037914,"threshold_uncertainty_score":0.002071738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00725241630645403,"score_gpt":0.2250374333046365,"score_spread":0.2177850169981825,"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."}}