{"id":"W2998976374","doi":"10.1016/j.jelechem.2020.113820","title":"Spectroelectrochemical studies of structural changes during reduction of oxygen catalyzed by laccase adsorbed on modified carbon nanotubes","year":2020,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Laccase; Carbon nanotube; Catalysis; Adsorption; Redox; Titration; Amide; Oxygen; Infrared spectroscopy; Photochemistry; Spectroscopy; Fourier transform infrared spectroscopy; Electrochemistry; Inorganic chemistry; Chemical engineering; Organic chemistry; Physical chemistry; Electrode; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000118263,0.0001725963,0.0001327684,0.0001667982,0.0001951906,0.0001480355,0.0002583392,0.0003619695,0.001156185],"category_scores_gemma":[0.0002522302,0.0001042943,0.0001971683,0.0001878889,0.000220353,0.0002019372,0.00007263499,0.0003754858,0.0001265757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809203,"about_ca_system_score_gemma":0.00007253946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009272551,"about_ca_topic_score_gemma":0.0009978375,"domain_scores_codex":[0.9999018,0.00001011894,0.000004577784,0.00001924012,0.00003717571,0.00002708423],"domain_scores_gemma":[0.9998642,0.00004257685,0.00002665077,0.00001037189,0.00004134466,0.00001474541],"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":[0.0001337743,0.00002255249,0.0002889486,0.0000180725,0.000005761498,0.00008394527,0.00003534934,0.00006315749,0.9984581,0.0000387332,0.00002450806,0.0008269984],"study_design_scores_gemma":[0.00000502463,0.0001300192,0.006827891,0.00000197225,0.0000098158,0.0000933668,0.00004582757,0.001009865,0.9915972,0.00002194894,0.0002527224,0.000004184353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985967,0.0002447879,0.0005356706,0.0000295054,0.00001523775,0.000003364361,0.00007212877,0.00001271571,0.0004898362],"genre_scores_gemma":[0.9990876,0.00008851592,0.0002407579,0.00001347491,0.000005150918,0.000003038847,0.00007982148,0.000003113631,0.0004786018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156185,"threshold_uncertainty_score":0.003867805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744651563048095,"score_gpt":0.2633442733956197,"score_spread":0.2458977577651387,"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."}}