{"id":"W1967967875","doi":"10.1021/jp0764438","title":"Step-by-Step Synthesis of Non-Noble Metal Electrocatalysts for O<sub>2</sub> Reduction under Proton Exchange Membrane Fuel Cell Conditions","year":2007,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Proton exchange membrane fuel cell; Catalysis; Microporous material; Carbon fibers; Carbon black; Pyrolysis; One-Step; Metal; Chemical engineering; Etching (microfabrication); Membrane; Materials science; Chemistry; Inorganic chemistry; Nanotechnology; Composite material; Organic chemistry; Metallurgy; Composite number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007848844,0.0002792045,0.0005068987,0.00007429728,0.0001364419,0.00001367184,0.0004469244,0.0001458138,0.0000276899],"category_scores_gemma":[0.00007650669,0.000214794,0.0004308514,0.0003566122,0.0001598888,0.0002516848,0.00004765755,0.0003861834,0.000007956261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772715,"about_ca_system_score_gemma":0.0001220188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004833926,"about_ca_topic_score_gemma":0.00000911579,"domain_scores_codex":[0.9980857,0.00005795977,0.0005746445,0.0002116673,0.0006121746,0.0004578272],"domain_scores_gemma":[0.9978328,0.000421018,0.0007929383,0.0003627226,0.0004304926,0.0001600559],"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":[0.0005176282,0.000465103,5.97214e-7,0.0006771988,0.0002691163,0.000002227674,0.0000909247,0.0004508618,0.9956592,0.00004373314,0.001306004,0.0005174179],"study_design_scores_gemma":[0.0008738646,0.0002809037,0.000005203012,0.00007453869,0.0006135769,0.00008979817,0.0002510332,0.0005381646,0.9957167,0.0003193485,0.001020645,0.0002162298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928233,0.0003011998,0.003458211,0.000168976,0.00006940444,0.0003156701,0.00001355679,0.00002775471,0.002821944],"genre_scores_gemma":[0.9987354,0.00009693296,0.0001094019,0.00001869316,0.0006210911,0.00003315091,0.00004996516,0.00005454,0.0002807952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005912147,"threshold_uncertainty_score":0.8759044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006257993094322269,"score_gpt":0.2283107981135272,"score_spread":0.2220528050192049,"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."}}