{"id":"W2034291571","doi":"10.1126/science.1170051","title":"Iron-Based Catalysts with Improved Oxygen Reduction Activity in Polymer Electrolyte Fuel Cells","year":2009,"lang":"en","type":"article","venue":"Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":3124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Catalysis; Platinum; Microporous material; Inorganic chemistry; Electrocatalyst; Electrolyte; Chemistry; Ferrous; Carbon fibers; Proton exchange membrane fuel cell; Oxygen; Carbon black; Cathode; Chemical engineering; Materials science; Electrode; Electrochemistry; Organic chemistry; Natural rubber; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001764935,0.0003041133,0.0003309008,0.0003853718,0.0001407068,0.0004178169,0.0004585207,0.0005447398,0.0004987643],"category_scores_gemma":[0.0003456098,0.0001743205,0.000153918,0.0002576571,0.0001756146,0.0003304796,0.000180367,0.0003356703,0.0002912781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905539,"about_ca_system_score_gemma":0.00007857549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003299762,"about_ca_topic_score_gemma":0.0008532945,"domain_scores_codex":[0.9998085,0.00001993759,0.00001473148,0.00003176589,0.00009532925,0.00002971494],"domain_scores_gemma":[0.9999462,0.0000115574,0.000008721297,0.000004475937,0.00001750212,0.00001144634],"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":[0.00004815175,0.00004138888,0.0001288932,0.00005020374,0.000005212519,0.00007195929,0.00001081058,0.0004144323,0.9934457,0.0001593285,0.0000845633,0.005539222],"study_design_scores_gemma":[0.00001070265,0.00005165722,0.0003105178,0.000002629584,0.000006572604,0.00007236076,0.000002914915,0.001177166,0.9971826,0.0000287907,0.001151481,0.000002680536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891238,0.003849186,0.00397619,0.0001373579,0.00005061111,0.00002221117,0.0001033225,0.0001897872,0.002547508],"genre_scores_gemma":[0.9893182,0.001472075,0.00646841,0.00003948159,0.00002250591,0.000009935477,0.0001769388,0.00002999622,0.002462458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005447398,"threshold_uncertainty_score":0.002108157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004334479071434136,"score_gpt":0.2078249643361304,"score_spread":0.2034904852646963,"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."}}