{"id":"W2514047845","doi":"10.1039/c6ta06212a","title":"Keratin-derived S/N co-doped graphene-like nanobubble and nanosheet hybrids for highly efficient oxygen reduction","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Nanosheet; Graphene; Materials science; Doping; Catalysis; Oxygen; Nanotechnology; Chemical engineering; Chemistry; Optoelectronics; Organic chemistry; Engineering","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":[0.00004943641,0.0001663621,0.0001135391,0.0002012715,0.0001171663,0.0001599464,0.0001686777,0.000265536,0.0007676519],"category_scores_gemma":[0.00006511461,0.00009796619,0.0001401169,0.0001375066,0.0001003848,0.0002444096,0.0001799815,0.0001787944,0.0002168184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706071,"about_ca_system_score_gemma":0.0001021314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004491484,"about_ca_topic_score_gemma":0.002820277,"domain_scores_codex":[0.9999568,0.000003891459,0.000002259859,0.000009164884,0.00001614048,0.00001173486],"domain_scores_gemma":[0.9999703,0.000004184401,0.000004821244,0.00000335969,0.000006378321,0.00001089262],"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":[0.00002261568,0.00001659752,0.00005641604,0.00001658839,0.000003073982,0.00002661266,0.000008337005,0.0001233931,0.9982095,0.0001275816,0.00004073742,0.001348549],"study_design_scores_gemma":[0.000003536298,0.00006151081,0.0004968051,0.0000014431,0.000005311615,0.0000419821,0.00001213261,0.001159597,0.9971993,0.00003147654,0.0009828256,0.000003971904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935669,0.000359316,0.00403499,0.00003185291,0.00002070596,0.00001858011,0.00009087722,0.00006093701,0.00181581],"genre_scores_gemma":[0.993061,0.0001815761,0.003634642,0.00001685558,0.00000245512,0.000009293206,0.0001057822,0.00001077291,0.002977566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007676519,"threshold_uncertainty_score":0.002568066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00780787631377898,"score_gpt":0.218010497275029,"score_spread":0.21020262096125,"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."}}