{"id":"W4321598460","doi":"10.3390/catal13030465","title":"Electrocatalytic Oxidation of Nitrophenols via Ag Nanoparticles Supported on Citric-Acid-Modified Polyaniline","year":2023,"lang":"en","type":"article","venue":"Catalysts","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyaniline; Citric acid; Chemistry; Adsorption; Electrocatalyst; Nitrophenol; Cyclic voltammetry; Inorganic chemistry; Aniline; Desorption; Nuclear chemistry; Nanoparticle; Monolayer; X-ray photoelectron spectroscopy; Electrochemistry; Materials science; Chemical engineering; Organic chemistry; Catalysis; Polymer; Electrode; Nanotechnology","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":[0.00009094027,0.0004069663,0.0001876952,0.00018419,0.00009569447,0.0001981984,0.0003471166,0.0002990194,0.0004110642],"category_scores_gemma":[0.0001424426,0.0001555777,0.0001653235,0.000143974,0.0001686249,0.0002826478,0.000190535,0.0002524593,0.000169222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917989,"about_ca_system_score_gemma":0.0001149463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007903256,"about_ca_topic_score_gemma":0.001371438,"domain_scores_codex":[0.9998868,0.000009296527,0.000007484774,0.00003693337,0.00004046053,0.0000190374],"domain_scores_gemma":[0.9999372,0.00001157116,0.00001904737,0.000006530894,0.00001756795,0.00000813397],"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":[0.00001879248,0.000005591764,0.00003319496,0.00002832191,0.000002063933,0.00001844753,0.000006025944,0.00006610437,0.9989817,0.00002689584,0.000008634847,0.0008042171],"study_design_scores_gemma":[0.000001966781,0.00003637264,0.0004144199,0.000001150728,0.000003986222,0.00002623118,0.0000037352,0.001035533,0.9980928,0.000007502876,0.0003742269,0.000001911987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916282,0.0007969798,0.00523634,0.00004059071,0.0000243853,0.00002054304,0.00008207027,0.0001101407,0.002060824],"genre_scores_gemma":[0.9932948,0.0004197946,0.004565799,0.0000127671,0.000005821454,0.00001370559,0.00008483055,0.0000144038,0.001588146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007903256,"threshold_uncertainty_score":0.001571417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746435942192315,"score_gpt":0.2760483614344957,"score_spread":0.2485840020125725,"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."}}