{"id":"W2935828585","doi":"10.1039/c9tb00325h","title":"Gold nanoparticle–protein conjugate dually-responsive to pH and temperature for modulation of enzyme activity","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"NIH Clinical Center; National Natural Science Foundation of China","keywords":"Conjugate; Nanoparticle; Colloidal gold; Materials science; Enzyme; Atmospheric temperature range; Modulation (music); Polymer; Enzyme assay; Dual (grammatical number); Biophysics; Chemical engineering; Nanotechnology; Chemistry; Biochemistry; Thermodynamics; Composite material; Physics; Biology","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":[0.0003579035,0.0006139723,0.0004604882,0.0002341258,0.0001882309,0.000337149,0.0003639823,0.0006017029,0.0007922284],"category_scores_gemma":[0.0002429387,0.0004025572,0.0003039348,0.0002904808,0.0003758753,0.0003144511,0.0003044617,0.0008756433,0.0003034995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030277,"about_ca_system_score_gemma":0.0002172366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003299309,"about_ca_topic_score_gemma":0.0007301936,"domain_scores_codex":[0.9996997,0.00004187598,0.00001879193,0.0001065115,0.00007817884,0.00005495666],"domain_scores_gemma":[0.9998999,0.00002329785,0.00001965612,0.00001005087,0.00002042884,0.00002671649],"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":[0.00003245635,0.00001107849,0.0000125822,0.0000217901,0.000002780403,0.000009203588,0.000008249013,0.00003113778,0.9995002,0.00003702268,0.00001298979,0.0003206132],"study_design_scores_gemma":[0.000003702494,0.00003986647,0.0001351484,0.000001110118,0.000004958456,0.00002559552,0.000001979924,0.0003649303,0.9991653,0.000006740162,0.00024803,0.000002627892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783885,0.001662089,0.01752637,0.0001284567,0.000093411,0.00005791443,0.0001192837,0.000128978,0.001895107],"genre_scores_gemma":[0.9833701,0.0007413127,0.0121925,0.00007919101,0.00001420508,0.00006865905,0.0001714166,0.00002938395,0.0033332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007922284,"threshold_uncertainty_score":0.002924204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102015064108788,"score_gpt":0.2615430710252413,"score_spread":0.2505229203841535,"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."}}