{"id":"W3093618817","doi":"10.1016/j.pnsc.2020.09.010","title":"ZIF-derived Co–N–C ORR catalyst with high performance in proton exchange membrane fuel cells","year":2020,"lang":"en","type":"article","venue":"Progress in Natural Science Materials International","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"National Natural Science Foundation of China-Guangdong Joint Fund; National Key Research and Development Program of China","keywords":"Catalysis; Proton exchange membrane fuel cell; Materials science; Zeolitic imidazolate framework; Carbon black; Chemical engineering; Carbon fibers; Conductivity; Metal; Inorganic chemistry; Metal-organic framework; Chemistry; Adsorption; Composite material; Physical chemistry; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005677867,0.0002483591,0.0002787181,0.0003398951,0.00008554054,0.000195117,0.001153391,0.00008104245,0.0003502662],"category_scores_gemma":[0.00006301202,0.0001962494,0.00002373467,0.0008941562,0.0004855553,0.001082086,0.0002536378,0.0002173319,0.00007356882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922561,"about_ca_system_score_gemma":0.0001779585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616119,"about_ca_topic_score_gemma":0.0002158635,"domain_scores_codex":[0.9972458,0.00005553866,0.0004026011,0.0006457571,0.001113884,0.0005364285],"domain_scores_gemma":[0.9992597,0.00002371148,0.0002012555,0.0002008104,0.0002054569,0.0001090457],"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":[0.0009830692,0.0001045518,0.01024768,0.0002780527,0.00002035335,0.00008474546,0.000706409,0.0004567728,0.9807069,0.001458139,0.0000108827,0.004942417],"study_design_scores_gemma":[0.00112295,0.0001401265,0.00827162,0.0001153273,0.000004122383,0.00001516871,0.00003606633,0.001666274,0.9867178,0.00002863505,0.001602408,0.0002795659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964645,0.0001336581,0.00000202864,0.000959071,0.0008366717,0.0004774028,0.000008129367,0.00008869133,0.001029852],"genre_scores_gemma":[0.9984642,0.0000720205,0.0006543761,0.0001971284,0.0001912798,0.000218072,0.0001169916,0.00002386953,0.00006207802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006010804,"threshold_uncertainty_score":0.8002819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090654905079434,"score_gpt":0.2408156333228728,"score_spread":0.2317501428149294,"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."}}