{"id":"W4360954536","doi":"10.1016/j.gce.2023.03.003","title":"Catalytic transformation of 4-nitrophenol into 4-aminophenol over ZnO nanowire array-decorated Cu nanoparticles","year":2023,"lang":"en","type":"article","venue":"Green Chemical Engineering","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Catalysis; Materials science; Nanoparticle; Noble metal; 4-Nitrophenol; Chemical engineering; Adsorption; Hydride; Nitrophenol; Metal; Dispersion (optics); Nanotechnology; Electron transfer; Photochemistry; Chemistry; Organic chemistry; Metallurgy","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":[0.00007115139,0.0003777794,0.000143682,0.0001383281,0.00008165633,0.00014122,0.0002809429,0.0002107128,0.0004368673],"category_scores_gemma":[0.000114996,0.0001381285,0.0001963383,0.0001307533,0.0001212635,0.0001562989,0.0001574535,0.0002064715,0.0001768581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751908,"about_ca_system_score_gemma":0.00011548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120049,"about_ca_topic_score_gemma":0.002144772,"domain_scores_codex":[0.9999207,0.000006272754,0.000004862771,0.00002613728,0.0000224237,0.00001953034],"domain_scores_gemma":[0.999966,0.000004787018,0.000009278539,0.000004315358,0.000008589245,0.000006945025],"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":[0.00001413898,0.000005465624,0.00004928322,0.00001889315,0.000002004604,0.00003034496,0.000005604145,0.0001158687,0.9985542,0.00004718729,0.0000162649,0.00114069],"study_design_scores_gemma":[0.000002081943,0.00002182526,0.0002179811,6.735669e-7,0.000002841469,0.00002109551,0.000004096206,0.001273867,0.9981055,0.0000102272,0.0003383124,0.0000014498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745102,0.0007676571,0.02204147,0.0000551286,0.00005512239,0.00003004129,0.0001348346,0.0002106976,0.00219492],"genre_scores_gemma":[0.9870725,0.0003416973,0.01095836,0.00001495414,0.000004977767,0.00001519571,0.00009175028,0.00002270762,0.001477932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120049,"threshold_uncertainty_score":0.002387047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009746258437987277,"score_gpt":0.2148997596919319,"score_spread":0.2051535012539446,"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."}}