{"id":"W2324632967","doi":"10.1149/1.3210563","title":"Iron-based Catalysts for Oxygen Reduction in PEM Fuel Cells: Expanded Study Using the Pore-filling Method","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microporous material; Catalysis; Carbon black; Proton exchange membrane fuel cell; Carbon fibers; Oxygen; Chemical engineering; Materials science; Oxygen reduction reaction; Nitrogen; Filler (materials); Chemistry; Inorganic chemistry; Composite material; Organic chemistry; Electrochemistry; Physical chemistry; Natural rubber","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":[0.0001888565,0.0002023132,0.0002422864,0.0002333685,0.0001530273,0.000246389,0.0002895473,0.0003392437,0.0004945049],"category_scores_gemma":[0.0002572992,0.000123093,0.0001941867,0.0001033478,0.0001501856,0.0003797299,0.0001286671,0.0002359096,0.0001707063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812137,"about_ca_system_score_gemma":0.0000940602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005958933,"about_ca_topic_score_gemma":0.0006289989,"domain_scores_codex":[0.9999057,0.00001439762,0.000005965264,0.00001779429,0.0000425599,0.00001360168],"domain_scores_gemma":[0.9999484,0.00001823985,0.000006958321,0.000005973888,0.00001466683,0.000005844146],"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":[0.00006537348,0.00006199644,0.0001911463,0.00009923049,0.000005305591,0.00007209258,0.00002890301,0.0003494449,0.9936366,0.0001430261,0.00002680341,0.005320059],"study_design_scores_gemma":[0.00001063428,0.0002024135,0.001075337,0.000007122094,0.00001432291,0.000213273,0.00001905042,0.002770108,0.9935251,0.00004620659,0.002111722,0.000004625264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909675,0.003412195,0.003986422,0.00003918759,0.00001105912,0.00002238129,0.00004170105,0.00004717212,0.001472394],"genre_scores_gemma":[0.9922592,0.001607772,0.004361414,0.00001275768,0.000009164953,0.000008924149,0.0001014026,0.00001281964,0.001626589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005958933,"threshold_uncertainty_score":0.001654327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123591952171183,"score_gpt":0.2716774271380265,"score_spread":0.2504415076163147,"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."}}