{"id":"W2108404701","doi":"10.1039/c4nr06093h","title":"Poly (<i>N</i>-isopropylacrylamide)-<i>co</i>-(acrylic acid) microgel/Ag nanoparticle hybrids for the colorimetric sensing of H<sub>2</sub>O<sub>2</sub>","year":2015,"lang":"en","type":"article","venue":"Nanoscale","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta","keywords":"Poly(N-isopropylacrylamide); Acrylic acid; Nanoparticle; Materials science; Polymer chemistry; Chemical engineering; Nanotechnology; Nuclear chemistry; Chemistry; Polymer; Copolymer; Composite material; Engineering","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":[0.00008197262,0.0003508605,0.0001220598,0.0001448001,0.00009414293,0.0002170041,0.0002128151,0.0002920389,0.0006014073],"category_scores_gemma":[0.0001318182,0.000131933,0.0001608794,0.0001271276,0.0001206231,0.0002346141,0.0001231685,0.0002889123,0.0003789038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015526,"about_ca_system_score_gemma":0.00008096633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376313,"about_ca_topic_score_gemma":0.0008128762,"domain_scores_codex":[0.9998922,0.00001134708,0.0000066732,0.0000311295,0.00004176781,0.00001691139],"domain_scores_gemma":[0.9999046,0.00001493728,0.00004111053,0.00001044616,0.00001771428,0.00001111939],"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":[0.00001498919,0.000006173884,0.00004248186,0.00001986357,0.000002486437,0.0000194678,0.000004110247,0.00006304212,0.9982598,0.00002658026,0.00003315222,0.001507794],"study_design_scores_gemma":[0.000001884396,0.00007063238,0.0008547737,0.000001231196,0.000006642468,0.00009637246,0.000005131942,0.0007735398,0.9970695,0.000009241998,0.001107741,0.000003255696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478877,0.002956024,0.04233678,0.0001490281,0.0001087535,0.00007100602,0.0002546903,0.0006792597,0.005556781],"genre_scores_gemma":[0.9692309,0.0006675559,0.02585314,0.0001202542,0.00003118998,0.00005270008,0.0001619045,0.00004967598,0.003832748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006014073,"threshold_uncertainty_score":0.002011895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271617621985768,"score_gpt":0.2158540711207654,"score_spread":0.2031378949009077,"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."}}