{"id":"W3013893991","doi":"10.1002/celc.202000011","title":"Iron‐ and Nitrogen‐Doped Graphene‐Based Catalysts for Fuel Cell Applications","year":2020,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"European Regional Development Fund; Eesti Teadusagentuur; European Commission","keywords":"Graphene; Proton exchange membrane fuel cell; Electrocatalyst; Catalysis; Electrolyte; Inorganic chemistry; Materials science; Oxide; Carbon fibers; Mesoporous material; Chemical engineering; Chemistry; Electrode; Nanotechnology; Electrochemistry; Organic chemistry; Physical chemistry; Composite number; Composite material; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009433489,0.0003207577,0.0003160007,0.00009188317,0.0001782922,0.00003972238,0.0003494105,0.0001647185,0.00002920468],"category_scores_gemma":[0.00004786152,0.0003447814,0.0001772579,0.0005621601,0.00007338633,0.0001153629,0.00006184216,0.0001854337,0.00005581504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061499,"about_ca_system_score_gemma":0.0001400767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005715003,"about_ca_topic_score_gemma":0.00006813209,"domain_scores_codex":[0.9981934,0.00001888376,0.0002875449,0.0006717824,0.0002531484,0.0005752583],"domain_scores_gemma":[0.9988938,0.0000945715,0.0001327827,0.0003921958,0.0001716996,0.0003149262],"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":[0.0002068191,0.0001103636,0.000246877,0.0009052156,0.00007193819,0.00000210412,0.0001965942,0.0000429336,0.9895271,0.003245291,0.003595656,0.001849086],"study_design_scores_gemma":[0.001422361,0.0001644143,0.000006385731,0.000004281694,0.0001116756,0.000002909907,0.00004004487,0.001317053,0.9013712,0.001996294,0.09321063,0.0003526878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275695,0.04056883,0.09505466,0.01558441,0.0002738405,0.006806062,0.00008166742,0.004242154,0.1098189],"genre_scores_gemma":[0.9944957,0.0001192145,0.002377571,0.001411724,0.000229734,0.0005498122,0.0005490339,0.0000877791,0.0001794608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2669262,"threshold_uncertainty_score":0.9999004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102849375613893,"score_gpt":0.2161246478937928,"score_spread":0.2050961541376539,"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."}}