{"id":"W2800418903","doi":"10.1039/c8ra02215a","title":"Silver nanoparticle-loaded microgel-based etalons for H<sub>2</sub>O<sub>2</sub>sensing","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Beijing Municipal Science and Technology Commission; Grand Challenges Canada; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; University of Alberta","keywords":"X-ray photoelectron spectroscopy; Materials science; Fourier transform infrared spectroscopy; Spectroscopy; Silver nanoparticle; Nanoparticle; Nanomaterials; Transmission electron microscopy; Diffuse reflectance infrared fourier transform; Chemical engineering; Analytical Chemistry (journal); Nanotechnology; Chemistry; Photocatalysis; Organic chemistry; Catalysis","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":[0.0001234751,0.0004422762,0.0001802333,0.0001916273,0.0001260648,0.0002737671,0.0002336971,0.0004253182,0.0006823178],"category_scores_gemma":[0.0001934517,0.0001918375,0.0001889397,0.0001288976,0.0001884113,0.0003921849,0.0001703254,0.0003172077,0.0003313431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718683,"about_ca_system_score_gemma":0.000115117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006192275,"about_ca_topic_score_gemma":0.002164715,"domain_scores_codex":[0.9998795,0.00001016551,0.000007388241,0.0000465769,0.00004064199,0.00001578765],"domain_scores_gemma":[0.9998798,0.00002770123,0.00004071486,0.00001034836,0.00002618476,0.00001509722],"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":[0.00001902557,0.000004793176,0.00002551128,0.00001955693,0.000002218663,0.00001862451,0.000007692187,0.00006370601,0.9989167,0.00002163079,0.00001602879,0.0008844194],"study_design_scores_gemma":[0.000001683366,0.00002957031,0.0001929676,0.000001047718,0.000003402527,0.00002205964,0.000006066002,0.0003339865,0.9988506,0.00000544828,0.0005507098,0.000002365595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711272,0.001914221,0.02286005,0.000133123,0.0001296342,0.00009887236,0.0002910205,0.0003001248,0.003145782],"genre_scores_gemma":[0.961731,0.001247485,0.02923507,0.0001204013,0.00002474337,0.00006604995,0.0001986864,0.00005588821,0.007320737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006823178,"threshold_uncertainty_score":0.002282619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008219957210217857,"score_gpt":0.2180047342426391,"score_spread":0.2097847770324212,"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."}}