{"id":"W2909813651","doi":"10.1016/j.jcis.2019.01.055","title":"Anchoring gold nanoparticles on poly(3,4-ethylenedioxythiophene) (PEDOT) nanonet as three-dimensional electrocatalysts toward ethanol and 2-propanol oxidation","year":2019,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"PEDOT:PSS; Poly(3,4-ethylenedioxythiophene); Catalysis; Materials science; Electrocatalyst; Chemical engineering; Nanoparticle; Direct-ethanol fuel cell; Nanotechnology; Electrode; Electrochemistry; Chemistry; Proton exchange membrane fuel cell; Organic chemistry; Layer (electronics)","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":[0.00099885,0.000240145,0.0003442394,0.0004122402,0.0001714278,0.0001545463,0.0004201152,0.00009625353,0.00004239713],"category_scores_gemma":[0.0001912712,0.0001932222,0.0000711203,0.0006164793,0.0002686451,0.001200915,0.0001677351,0.0003338091,0.00005643129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410568,"about_ca_system_score_gemma":0.0003688081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390806,"about_ca_topic_score_gemma":0.00004953394,"domain_scores_codex":[0.9975367,0.00005153785,0.0004715981,0.0004292964,0.001031436,0.0004794871],"domain_scores_gemma":[0.9986196,0.0001006458,0.0003875968,0.0002457302,0.0003923927,0.0002539998],"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":[0.0003181745,0.00004465474,0.0004975874,0.00001779669,0.00002968066,0.000003186895,0.0002188127,0.0003756698,0.9937708,0.001515724,0.0000692964,0.003138592],"study_design_scores_gemma":[0.0008425261,0.001886233,0.0009427778,0.0001958144,0.00002852051,0.0002456608,0.0001053894,0.0009414338,0.9929893,0.0007059952,0.0008893799,0.0002269861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960719,0.001590601,0.00005133313,0.0005147847,0.0005185693,0.0001228546,3.677105e-7,0.00002605795,0.001103562],"genre_scores_gemma":[0.998547,0.0001367332,0.0003796088,0.0002088771,0.0001133939,0.000002407485,6.440936e-7,0.00002047565,0.0005908972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002911606,"threshold_uncertainty_score":0.7879371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008833884502853632,"score_gpt":0.238537643499681,"score_spread":0.2297037589968274,"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."}}