{"id":"W2600468107","doi":"10.1039/c7nr00930e","title":"Self-assembled nitrogen-doped fullerenes and their catalysis for fuel cell and rechargeable metal–air battery applications","year":2017,"lang":"en","type":"article","venue":"Nanoscale","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fullerene; Battery (electricity); Catalysis; Materials science; Graphene; Doping; Oxygen reduction reaction; Nitrogen; Metal; Nanotechnology; Fuel cells; Oxygen; Chemical engineering; Inorganic chemistry; Electrode; Electrochemistry; Chemistry; Organic chemistry; Optoelectronics; Power (physics)","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":[0.0002476117,0.0002704604,0.0003721417,0.0001188277,0.0007878093,0.0001095943,0.0003787412,0.0001768238,0.00002227794],"category_scores_gemma":[0.00003288647,0.0002348596,0.0001269316,0.0001029045,0.00004778984,0.0003273911,0.0001901862,0.0000988306,0.00003222229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333723,"about_ca_system_score_gemma":0.00005482498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00064182,"about_ca_topic_score_gemma":0.0009341952,"domain_scores_codex":[0.9986431,0.00003767214,0.0002398862,0.0005516145,0.0001406158,0.0003871318],"domain_scores_gemma":[0.9984533,0.0001380944,0.0002135189,0.0008965044,0.0001441599,0.0001544187],"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":[0.000146212,0.0003749064,0.00401142,0.0007613254,0.0005277891,0.000002934484,0.0004664917,0.00002199737,0.9781103,0.002886143,0.001605116,0.01108536],"study_design_scores_gemma":[0.001160708,0.00008285821,0.0002051839,0.000009912323,0.0002096229,0.000009796136,0.00009181288,0.00084987,0.8431152,0.004064072,0.1498777,0.0003232721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753145,0.004715128,0.001759729,0.0009264899,0.0001656269,0.000802366,0.00002106046,0.0002956665,0.01599941],"genre_scores_gemma":[0.994893,0.0007214145,0.001667455,0.0001146125,0.0001175374,0.0004456376,0.00008935671,0.0000549972,0.001896036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482726,"threshold_uncertainty_score":0.9577296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110360892036652,"score_gpt":0.223833360657062,"score_spread":0.2127972714533968,"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."}}